JPS6083097A - scoring device - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

[Detailed Description of the Invention] Industrial Field of Application The present invention uses an audio signal recording and reproducing device such as a ``karaoke device'' to convert the user's sung audio signal into a reproduced audio signal from a reference magnetic tape or the like. The present invention relates to a scoring device that automatically scores a user's singing ability by comparing it with the user's singing ability.

Conventional configurations and their problems As a field of audio equipment, music signals played by a musical instrument recorded on a recording medium such as a magnetic tape are reproduced and expanded, and when a user sings along with the music signals, the music signals are reproduced. There is a so-called "1-karaoke machine" which mixes the sound with the karaoke machine and amplifies the sound, and is widely used for general home or business use.

By singing using the above-mentioned "karaoke device," users can gain joy and satisfaction, but in recent years, an increasing number of people want to improve their singing ability.
Some people receive guidance from a singing teacher to improve their singing ability, but this is not possible for everyone, and there is a method called ``audio multiplex tape'' that allows you to study singing on your own. Audio multiplexing recording media, such as magnetic tape, are rapidly becoming popular. For example, in the case of a magnetic tape, this audio multiplexing type recording medium is a magnetic tape, as shown in FIG. The performance music signals are recorded respectively. When using this magnetic tape, an audio multiplexing type "karaoke apparatus" having a configuration as shown in FIG.
1 and an amplifier 202.
and a second tape reproducing means 3 consisting of a magnetic head 301 and an amplifier 302, and these two outputs are mixed and power amplified by a mixing amplifier 6 together with the output of a microphone input means consisting of a microphone 401 and an amplifier 402. It is output from the speaker 6 as an acoustic signal.

It is said that you can improve your singing ability by listening to vocal signals recorded on a recording medium using the above device and practicing singing along with the vocal signals yourself, but no matter how much you practice, However, the drawback is that users themselves cannot tell how close their singing style is to the modeled vocal signal, in other words, how much their singing ability has improved. Also, even if the user sings in the wrong way, the user may not even notice it, and when practicing individually, there is a natural limit, and the user may lose interest and lose the desire to practice. It had the disadvantage of being too large.

Purpose of the Invention The present invention solves the above-mentioned conventional problems, and compares the vocal signal recorded on an audio multiplexing recording medium with the user's singing voice No. 16, and calculates the degree of matching as a score.・It is displayed as an objective evaluation method for the user's singing ability, and in particular, when the vocal signal is delayed, when the user does not sing part of the song, or when the user does not take a breather, points are deducted. The purpose of this invention is to provide a scoring machine that more accurately calculates the degree of matching as a score.

a first scale change detection means for detecting a change in the pitch of the musical scale of the constituent number of the invention; a second scale change detection means for detecting a change in the pitch of the musical scale of the input second audio signal; a first counting storage means for counting and storing the number of changes in pitch of the musical scale of the audio signal; a second counting storage means for counting and storing the number of changes in the pitch of the musical scale of the second audio signal; a first pause detection means for detecting a no-signal portion of the audio signal; a second pause detection means for detecting a no-signal portion of the second audio signal;
a third counting storage means for counting and storing the number of times a pause is detected by the pause detection means of the first pause detection means; Pause simultaneous release detection means detects whether the pause of the first audio signal is also canceled almost simultaneously by looking at the output information of the pause simultaneous release of the first audio signal; and a fourth count storage means for counting and storing the number of times the pause simultaneous release detection means detected that the pause simultaneous release detection means was almost the same as A score is calculated according to the ratio between the information stored in the third counting storage means and the information stored in the fourth counting storage means. Further, a pause cancellation detection means for detecting a time when the pause cancellation of the first audio signal is delayed from the pause cancellation of the second audio signal is used to store a deduction rate α1 when the delay time is longer than a certain period of time. When the pause time of the first voice is longer than a predetermined time, the first pause time detection means detects the pause time of the first voice when the second voice signal is not in a pause state. Immediately after the point deduction rate α2 is stored, the second voice pause time detection dj means detects the pause time of the second audio signal. a demerit rate α2 canceling means for canceling the previously memorized demerit rate α2 when the predetermined time has elapsed;
a pause simultaneous presence/absence detection means for detecting whether or not the audio signal is paused; and a sixth counting storage means for storing the number of times that pauses are not simultaneous based on the pause simultaneous presence/absence detection means;
The deduction rate a3 is set according to the ratio of the information stored in the third count storage means and the information stored in the fifth count storage means, and the deduction rate a1. α2. and a3
The final score result will be calculated by applying the lowest point deduction rate and adding the reward to the above score. Therefore, the score is calculated based on how well the first audio signal matches the second audio signal, and the user can evaluate the level of his or her singing ability compared to the vocal signal on the recording medium. can be recognized.

DESCRIPTION OF THE EMBODIMENT FIG. 3 is a block diagram showing an embodiment of the present invention. 4
numeral 401 is a microphone and 402 is an amplifier. 2 is a first magnetic tape reproducing means for reproducing a vocal signal recorded on an audio multiplex recording medium;
201 is a magnetic head, and 202 is an amplifier. 7 is the first
This waveform converting means converts the voice sung by the user into a signal. Reference numeral 8 denotes a second waveform converting means, which converts the vocal signal on the recording medium into a nox signal. Reference numeral 9 denotes a first scale change detection means, which detects changes in the scale of the voice sung by the user.

Reference numeral 10 denotes a second scale change detection means, which detects a change in the scale of the vocal signal. Reference numeral 11 denotes a first counting storage means, which stores the number of times the user sings a voice for each change in pitch of the scale. Reference numeral 12 denotes a second counting storage means, which counts and stores the number of changes in pitch of the scale of the vocal signal.

Reference numeral 13 denotes a first pause detection means, which detects pauses caused by breaths or the like in the user's singing voice. Reference numeral 14 denotes a second pause detection means, which detects a pause due to a pause or the like in the vocal signal on the magnetic tape. 41 is the third
is a counting storage means for storing the number of pauses in the vocal signal on the magnetic tape as a divisor based on the output of the second pause detection means. Reference numeral 15 denotes a pause simultaneous release detection means, which detects when the pause in the vocal signal is canceled, that is, when the vocal signal changes from a no-signal state to a signal-present state, the audio signal sung by the user is also released from the pause at approximately the same time. This is to detect whether or not. Reference numeral 16 denotes a fourth counting storage means for counting and storing the number of times simultaneous release of pause is detected by the pause/simultaneous release detection means.

42 is a delay detection means for canceling a pause, which detects a delay time that indicates how much delay the user starts singing from the time when the pause in the vocal signal is canceled; 43 is a means for storing the demerit rate a1; When the delay time is longer than a certain time, a deduction rate a1 is set and stored.

44 is a first pause time detection means, which detects the time when the user does not sing when there is a vocal signal, and 45 is a storage means for the deduction rate α2, when the time when the user does not sing exceeds a certain time. At this time, the point deduction rate α2 is set and stored.

46 is a second pause detection means, which detects the pause time of the vocal signal immediately after the point deduction rate a2 is set; 47 is a means for canceling the point deduction rate α2; The point deduction rate α2 is canceled when the downtime is longer than a certain time. This is because vocal signals are generally recorded by professional singers, and professional singers who sing for a long time at the end of the song sing for a very long time, and the user often cannot catch their breath. Therefore, the deduction rate a2 is canceled at the end of the song, and is applied only when the user does not sing during the song.

Reference numeral 48 denotes a simultaneous pause detection means, which detects whether the user is taking a breather when the vocal signal is taking a breather, and 49 is a fifth count storage means, which detects whether the user is taking a breather or not. It stores the number of times the patient has not used the medicine at that time. In this detection, if the user sings carelessly, points are deducted by setting a point deduction rate α3 according to the ratio of the number of breaths in the focal signal to the number of times the user does not take a breath at that time.

17 is a score division means that compares and calculates the number of changes in the pitch of the voice sung by the user and the number of changes in the pitch of the vocal signal, and further calculates the number of detected pauses in the vocal signal and the vocal signal. The degree to which the audio signal sung by the user matches the vocal signal on the magnetic tape is calculated as a score according to the ratio of the number of times the pause release of the audio signal sung by the user is detected almost simultaneously with the release of the pause.
The score result will be subject to the above deduction rate α1. α2. The final score is calculated by multiplying the two scores by the minimum value of α3.

FIG. 4 is a block diagram showing the specific configuration of this embodiment.
Detecting scale changes in the user's voice and counting and storing the number of changes, detecting pitch changes in the vocal signal and counting and storing the number of changes, detecting pauses in the vocal signal and counting and storing the number of detections, detecting pauses in the user's singing signal, The microcomputer 15 realizes the functions of detecting the cancellation of the pause in the user's singing signal almost simultaneously with the cancellation of the pause in the vocal signal, counting and storing the number of detections, and calculating the score.

FIG. 5 shows an actual circuit example of the first waveform converting means 7. Normally, the same circuit is often used for the first waveform converting means 7 and the second waveform converting means. The circuit of the first waveform converting means 7 will be representatively explained with reference to the operational diagram of FIG. 6.

701 is an input terminal, 702.704.705.

708.710,711 are resistors, 703,706°7
09 is a capacitor, 707 is an operational amplifier (hereinafter abbreviated as oP amplifier), 712 is a transistor, and 713 is an output terminal.

Op amp 707 and resistors 702 and 704.

706 and capacitors 703 and 706 constitute a low-pass active filter, which removes high-frequency components of the audio electrical signal input to the input terminal 701 as shown in FIG. The necessary signal amplification is performed by the amplification action of the op amplifier 707, and the high-frequency components that are not sufficiently removed by the active filter are supplemented by a time constant circuit composed of a resistor 708 and a capacitor 709. to be removed. The audio electrical signal from which the high-frequency components have been removed by the necessary amount as shown in FIG. 6(b) is processed by resistors 710, 711 and transistor 712 into a pulse waveform as shown in FIG. 6(c). It will be converted to . In this way, the first waveform converting means 7 converts the user's singing voice signal, which is the output of the microphone input means 4, into a pulse waveform, and the second waveform converting means 8 similarly converts the voice signal sung by the user into a pulse waveform. The vocal signal that is the output of is also converted into a pulse waveform.

The operation of this embodiment will be explained below based on the flowchart shown in FIG. 7 which shows the main part of the processing operation of the microcomputer.

First, it is assumed that the power of the device is turned on and that the memory elements inside the microcomputer 15 have also been initialized. The user's singing voice signal is input to the microphone input means 4.
The electrical sound signal is amplified and converted into a pulse signal by the first waveform converting means 7, which is input to the microcomputer 18, where the time width of the input pulse is converted into a digital quantity in step 20. That is, by counting the II-HII period of the pulse signal shown in FIG. 6(c) using the clock signal of the microcomputer itself, the time width of the input pulse can be converted into a digital quantity. In this way, tl in FIG. 6(C)
Conversion is performed in the order of time width from t2, time width from t3 to 14, time width from t5 to 70, and so on. Note that when this time width increases, it indicates that the scale has become lower, and when it decreases, it indicates that the scale has become higher.

Next, in step 21, it is determined whether the time width of the pulse signal has increased compared to the previous time width.

That is, in the pulse signal waveform of FIG. 6(c), the current t3
If it is the time when the time width from t4 is detected, then determine whether the time width from t3 to 14 has increased compared to the time width from t to t2, which is the tail of the previous time width. However, if the time width has increased, in step 23 N11 indicating the number of times the scale of the user's audio signal has become lower is incremented, and if the time width has not increased, the process proceeds to step 22. In step 22, it is determined whether the time width of the pulse signal has decreased compared to the previous time width, and if the time width has decreased, step 25 indicates the number of times the scale of the user's audio signal has increased. N13 is increased by 1, and if the time width has not decreased, the process proceeds to step 24, where N12, which indicates the number of times the scale of the user's audio signal does not change, is increased by 1.

As mentioned above, steps 20, 21.22 realize the function of the first scale change detection means 9, and steps 23.24.2
5 realizes the function of the first count storage means 11.

On the other hand, the vocal signal recorded on the magnetic tape 1 which is an audio multiplexing type recording medium is transmitted to the first magnetic tape reproducing means 2.
The vocal signal is then played back, converted into a pulse signal by the second waveform converting means 8, and inputted to the microcomputer 18. In step 26, the vocal signal is first checked to see if it is in a resting state. Determine whether or not.

If the vocal signal is in a pause state, the process proceeds to step 27, where it is determined whether the vocal signal has started to pause, that is, the vocal signal was present until just before, and now there is no signal for the first time, and whether the vocal signal has started to pause. If so, proceed to step 28 and select N indicating the number of pauses in the vocal signal.
Increase 3 by 1. That is, steps 26.27
realizes the function of the second pause detection means 14, and step 28 realizes the function of the third count storage means 41.

Conversely, if it is determined in step 26 that the vocal signal is not in a pause state, the vocal signal is released from the pause state in step 29, that is, the vocal signal was in a no-signal state until just before, and is now in a signal state for the first time. Determine whether or not.

If the vocal signal is released from the pause, the process proceeds to step 30, and the process proceeds to step 31 only when the user's singing voice signal input from the microphone releases the pause almost at the same time. In step 31, N4, which indicates the number of times the pause in the voice signal sung by the user is released almost simultaneously with the release of the pause in the vocal signal, is increased by 1.

That is, step 30 performs the function of the first pause detection means 13, steps 26, 29, and 30 perform the function of the pause simultaneous release detection means 16, and step 31 performs the function of the fourth count storage means 16.
This function has been realized.

Next, after converting the time width of the incoming canoculus into a digital quantity in step 32, it is determined in step 33 whether or not the time width has increased compared to the previous time width, and if the time width has increased, the step 36, N21 indicating the number of times the scale of the vocal signal has become lower is increased by 1, and if the time width has not increased, proceed to step 34. In step 34, it is determined whether the time width of the Norse signal has decreased compared to the previous time width, and if the time width has decreased, step 37 indicates the number of times the scale of the vocal signal has increased. N23 is increased by 1, and if the time width has not decreased, the process proceeds to step 36, where N22, which indicates the number of times the scale of the vocal signal does not change, is increased by 1.

As mentioned above, steps 32.33.34 implement the function of the second scale change detection means 10, and steps 35.36.
37 realizes the function of the second argument storage means 12.

In the drawings, AC and DE indicate detailed flowcharts in FIGS. 8, 9, and 10, respectively.

FIGS. 11 and 12 are time charts to assist in explaining the flowchart. Here, waveforms d, f,
h is a vocal signal, and waveforms e, g, and i are user's microphone signals.

First, using the first half of FIG. 8 and FIG. 12, a method for setting the deduction rate when the user does not sing when there is a vocal signal will be explained. In FIG. 12, the range is from 113 to t14.

In step 50, it is determined whether the vocal signal is in a rest state. If it is determined that the vocal signal is not in a pause state, the process proceeds to step 51, where it is determined whether the vocal signal is in a pause state. If not, that is, when the vocal signal is continuously in the signal state, the process proceeds to step 52, and the pause time width of the user's voice signal input from the microphone is checked, and it is determined whether it is within a certain value of 12. If the number is 12 or more, the deduction rate a2 is set and the process proceeds to step 56. The minimum deduction rate α□, which α2 had set in the current trench. If it is still smaller than α2, α2 is replaced with αmin in step 57. When the vocal signal continues for a very long time, such as at the end of a song, the user cannot catch their breath and a point deduction rate is set. Next, we will explain how to overcome this drawback. This is about 116 to t17 in FIG. If it is determined in step 51 that the vocal signal is no longer at rest, that is, there was no signal until just before, and that there is now a signal for the first time, the process proceeds to step 54, and the time period in which the vocal signal was absent is determined to be a constant value T.
If it is 13 or more compared to 3, proceed to step 80 and reduce the point deduction rate α
Cancel 2. If it is within 13, the process proceeds to step 55, and if there is a demerit rate a2, the process proceeds to step 56, and the flow is as described above. That is, step 52 performs the function of the first downtime detection means, step 53 performs the function of the storage means for the point deduction rate α2, step 54 performs the function of the second downtime detection means, and step 80 functions as the means for canceling the point deduction rate α2. It has been realized.

Next, using the latter half of FIG. 8 and FIG. 11, we will explain how to set the point deduction rate for the delay of the user signal from the rise of the vocal signal. FIG. 11 is about t11 to t12. In step 58, the presence or absence of a vocal signal is determined again, and if there is a vocal signal, the process proceeds to step 59, where it is determined whether the vocal signal is a cancellation of the pause. If it is determined that the pause has been canceled, the process proceeds to step 60 and T1 is set to 0. In other words, there was no signal until just before the vocal signal, and now,
This is a case where there is a signal, and from this point on, the delay time for the user to start singing begins to increase. If it is determined in step 59 that the vocal signal does not release the pause, step 6
1, it is determined whether the microphone signal is at rest. If the microphone signal is at rest, T1 is increased by 1 and stored until determination at the next sampling point. If it is determined that the microphone signal is not paused, the process proceeds to step 63, where it is determined whether or not the pause of the microphone signal is cancelled.If the pause is canceled, the process proceeds to step 64, where T1 is compared with a constant value N5, and if T1 is larger, , the process proceeds to step 66 and the point deduction rate α1 is set. That is, if the user's singing start is delayed by a certain percentage or more from the vocal signal, a point deduction rate α1 is set. Next, in step 66, if the deduction rate a1 is even smaller than the point reduction rate a1, in step 67, σ1 is changed to α□□. Change it to a new one.

Steps 59 to 64 function as means for detecting a delay in canceling the pause, and step 65 functions as a means for storing the deduction rate α1.

Using FIG. 9 and FIG. 13, we will explain how to set the point deduction rate α3 when the number of times the user does not take a breath when there is a pause in the vocal signal exceeds a certain percentage. This is about t18 to t19 in FIG. In step 68, it is determined whether the vocal signal is in a rest state.

If it is determined that the vocal signal is in a resting state, step 69
, the vocal signal determines whether or not it is the start of a pause, and if it is the beginning of a pause, the process proceeds to step 70, and the microphone signal determines whether it is in a pause state, and if it is not a pause state, a flag is set in step 71. Score 1. In the next sampling period, if it is determined in step 68 that the vocal signal is not in a pause state, the process proceeds to step 81, and it is determined whether the vocal signal is in a pause state. If the pause is to be canceled, the process advances to step 72 and it is determined whether flag 1 is present. If flag 1 is present, the process proceeds to step 73, where it is determined whether the microphone signal is at rest. If it is determined that the microphone signal is not paused, the number N6 of times when it is determined that the microphone signal is not paused is increased by 1 when there is a pause in the vocal signal (t19 in FIG. 13). That is, in FIG. 13, flag 1 is set at time t 2 and N6 is increased by 1 at time 8 at t19. Step 68~
Reference numerals 73 and 81 implement the function of detecting means for detecting the presence or absence of simultaneous pauses, and step 74 implements a fifth count storage means.

Next, in step 38, it is determined whether it is time to start scoring. The decision to start scoring may be based on push button switch information that designates the start of scoring, or by detecting the presence or absence of performance music signals recorded on the magnetic tape 1. Scoring may start when the music signal disappears. It is also possible to record an end signal indicating the end of the song in advance, and use the time when the end signal is detected, or the time when the end of the magnetic tape is detected.

If it is not yet time to start scoring, proceed from step 38.
Proceeding to step 20 or step 26, N11°N121N13 which is the change data of the time width of the pulse signal
1N21. N221N23, the number of pauses N3 of the vocal signal, the number N4 of the number of times the voice signal sung by the user was canceled almost at the same time as the pause of the vocal signal, and the deduction rate a1. Data collection is performed on the number of times a2 and the number of breaths that are not in sync N6.

Then, when it comes time to start scoring, the process proceeds from step 38 to step 39, where the score is calculated. Step 3 has the function of score dividing means 1A, and calculates the score using the time width change data N1 of the pulse signal created from the user's voice signal and the vocal signal of the magnetic tape 1.
11 N121N131N21. N22. N23, the number of pauses in the vocal signal N3, and the number of times the user's singing voice signal also paused at approximately the same time as the pause in the vocal signal was released, N4, and is calculated to give a maximum of 100 points. . The Ushizu basic formula will be explained as an example of a formula for calculating the score. With α, β, and γ as constants,
Score P is P-1C×1(N21+N22+N25)-(aIN
l, -N211→βlN12−N22]+γl N13
-N23' ) ]/(N21 +N22 +N23
C.........Define as formula 0.

The score according to the above formula 0 is N11-N21°N1
2-N22. 1, which is a perfect score when it becomes N43-N23
00 points, which means that the number of changes in the scale of the audio signal sung by the user and the number of changes in the scale of the vocal signal on the magnetic tape are all 3 items: high change, low change, and unchanged. If the number of times is the same, that is, if the change in the scale of the voice signal sung by the user is the same as the change in the scale of the vocal signal on the magnetic tape 1, a full score will be given.

On the other hand, in the division formula of the above formula 0, N11-o, Nl2-02
Constant a so that the score is 0 in the case of N13-O.

β and γ are determined in advance. This is to ensure that the score becomes 0 when the user does not sing at all.

Next, an example of the score calculation formula in this embodiment will be explained. α in the same way as the calculation formula 0 above.

Let β and γ be constants, and K1. 2 is also a constant α□,. is the deduction rate, and the score P is P-[K1×1(N21+N22+N25)~(alN
l, -N211+β1N12-N221→-γ'N1s
-N231) i/also+p%10N2B)→■(2×N
−3〕α□,.

・・・　・・・■Formula Define it as follows.

The first term of the above formula (■) is the number 100 in the above formula
The explanation is omitted because it has been replaced by the constant . ■To explain the meaning of 2×NVN3, which is the second term in the equation, N3 is the number of times the vocal signal is paused,
N4 indicates the number of times that the vocal signal sung by one user was released from the pause at approximately the same time when the vocal signal was released from the pause.

To be more specific, N3 is the number of times the singer in the vocal signal, which serves as a model for scoring, does not sing while taking a breath, and N4 is the number of times the singer in the vocal signal does not sing while taking a breath. From the state, it shows the number of times the user starts singing from a state where the user is not singing at the same time when the user starts singing.Also, since there is a relationship of N4≦N3, N4//N3 is 1
N4/N3 is a positive number as shown below, and N4/N3 indicates the rate at which the vocal signal and the user's sung audio signal start at the same time, and it is a measure of the rhythmic sense and tempo of the singing ability. It can be thought of as an element that indicates the direction. Multiplying this N4/N3 by the constant 2 and adding it to the first term of the above formula (■) gives 1
Constants a, β, γ so that 00 points is a perfect score.

K1. By setting 2 to 2, it is possible to calculate a score more accurately than the above-mentioned formula 0, since it takes into account the sense of rhythm and how the tempo matches.

Let's explain the score calculation according to the flowchart in Figure 10.

In step 6, if the ratio between the number of times the microphone signal does not take a breath when the vocal signal takes a breath and the number of times the microphone signal takes a breath N3 is greater than the fixed value A, the process proceeds to step 76, and the deduction rate a3 is calculated. Set, step 77
So, if α3 is smaller than the deduction rate amin in the current system, then α3 is am. Then, proceed to step 79 and calculate the score based on the calculation formula 0.

Here N21 +N22+N23 ”” NOTα1N
11”211+βl N12-N221+γl N13
−N231 =X.

The delay of the user's singing signal from the vocal signal, when the user does not sing when there is a vocal signal, when the vocal signal is taking a breath, when the user does not take a breath at all, respectively. Since points are calculated using a strict point reduction rate, the user has to sing more accurately in response to the vocal signal in order to get a high score. Therefore, accurate score calculation can be performed.

In this way, in step 39, the user uses the information on the change in the scale of the user's audio signal, the information on the change in the scale of the vocal signal on the magnetic tape 1, and the information indicating the sense of rhythm and tempo matching of the user's audio signal. It can be seen that the score is calculated based on the extent to which the audio signal of the magnetic tape 1 matches the vocal signal of the magnetic tape 1. After calculating the score, the score is displayed on the score display means 19 in step 4o.

As described above, according to this embodiment, changes in the scale of an audio signal sung by a user are compared with changes in the scale of a vocal signal such as a magnetic tape, and the sense of rhythm and tempo are determined based on the vocal signal. Since the degree of matching can be calculated and displayed as a score, it is possible to provide an objective evaluation means for the user's singing ability.

In this example, the audio signal sung by the user was used as the subject of scoring, and vocal No. 16 on magnetic tape, which is an audio multiplexing recording medium, was used as the standard for scoring, but these are musical instrument performance signals and Audio such as a simple sine wave signal or human speech (I may be used.Also, if the application of the deduction rate at the end of the song is eliminated, but if it is to be made more severe, the deduction rate at the end of the song is applied. You may do so.

In addition, in this embodiment, a waveform conversion means using a low-pass active converter and a transistor was used to convert the audio signal into a pulse signal, but in this example, the audio signal waveform is directly converted into a digital signal by an analog-to-digital converter. A circuit that converts the value into a pulse signal may be used.

Further, in this embodiment, the scale change detection means, count storage means, etc. are realized by a microcomputer, but it goes without saying that these may be realized and used by conventional general-purpose logic circuits.

In addition, in this embodiment, waveform converting means and scale change detecting means are provided separately for processing the user's audio signal and vocal signal processing, respectively, or only one system is used for processing the user's audio signal, and the processing of the user's audio signal is performed in a time-sharing manner. processing and vocal signal processing may be performed.

In addition, in this embodiment, the time width in the case of tt H31 of the pulse signal which is the output of the waveform converting means is shown in FIG. For example, in FIG.
Changes in the time width may be detected one by one, such as the time width from 1 to 12, followed by the time width from t to t6.
B (“H” of the pulse signal that is the output of the waveform conversion means during a certain period that is sufficiently long compared to one time width that is IT)
Find out the time width for all pulses or for a part of the pulses, determine the average time width and maximum time width for each pulse, and detect changes in the scale of the audio signal from changes in this average time width, etc. Alternatively, only one or two of the three types of changes, ie, a change in the higher direction, a change in the lower direction, and no change, may be detected.

Effects of the Invention As described above, the present invention includes two waveform conversion means for converting two audio signals into pulse signals, and detects how the scales of the two audio signals have changed based on the outputs thereof. 2
The number of times a transition to a higher scale was detected and the number of times a transition to a lower scale was detected are stored by two scale change detection means, two division storage means for counting and storing the output, and two argument storage means. It compares and calculates information from three types of two systems: the number of times it has changed, the number of times it has remained unchanged, and the number of times it has been detected, and further develops a sense of rhythm.

By checking how the tempos match, and applying a deduction rate when the vocal signal lags behind the vocal signal, or when the user does not sing part of the song or takes a breather, it is possible to more accurately determine the degree of match between the two audio signals. It can be obtained as a KN point.

This means that people who practice singing using audio multiplexed recording media can use the vocal signals recorded on the audio multiplexed recording media as a singing teacher to evaluate the singing ability of the singing teacher. This means that it is possible to provide an objective means of determining how many points a person has in terms of singing ability. In other words, for those who practice singing, the goal of practice becomes clear, for example,
Your motivation to practice will improve, and you will think, ``I'm going to sing this song and practice until I can get a score of 80 or above.'' If you don't get a good score when you sing this song, you'll think about why you're not getting a good score, and you'll improve your own way of singing. By looking for the weak points in your work, you can further improve your skills, and the effect is great.

[Brief explanation of the drawing]

Figure 1 shows magnetic tape, which is one of the audio multiplexing recording media.
Fig. 2 is a block diagram of what is commonly called an audio multiplexing type 1 karaoke device using magnetic tape, which is one of the audio multiplexing recording media, and Fig. 3 is an explanatory diagram of the audio multiplexing track of the present invention. 4 is a block diagram showing a specific configuration of the embodiment. FIG. 6 is a circuit diagram showing a specific configuration of the first waveform converting means of the embodiment. The diagram shows the first wave 7...the first waveform converting means, 8...the second waveform converting means,
waveform converting means, 9...first scale change detection means, 1°...second scale change detection means, 11...
...First count storage means, 12...Second count storage means, 13...First pause detection means, 14
... second pause detection means, 15 ... pause simultaneous release detection means, 41 ... third count storage means, 16 ... fourth count storage means , 17...
・Score calculation means, 42... Storage means for pause release rate α2, 46... Second pause time detection means, 4
7... Means for canceling the deduction rate a2, 48... Means for detecting the simultaneous presence or absence of pauses, 49... Fifth count storage means. Name of agent: Patent attorney Toshio Nakao and 1 other person No. 7
Figure 11 Figure 12 Figure 13

Claims (1)

Scope of Claims: (1) a first waveform converting means for converting an inputted first audio signal into a pulse signal; The scale of the audio signal is
A first scale change detection means for detecting whether the scale has shifted to a higher scale, a lower scale, or no change; and a second waveform conversion means to convert an inputted second audio signal into a pulse signal. and a step for detecting whether the scale of the second audio signal has shifted to a higher scale, shifted to a lower scale, or remains unchanged based on the output pulse signal of the second waveform converting means. Based on the outputs of the second scale change detection means and the first scale change detection means, the number of times a shift to a higher scale was detected, the number of times a shift to a lower scale was detected, and the number of times no change was detected. The number of times a transition to a higher scale is detected and the number of times a transition to a lower scale is detected based on the outputs of the first counting storage means for counting and storing the number of times, and the second scale change detection means. number of times,
a second counting storage means for counting and storing the number of times that no change is detected; a first pause detection means for detecting a no-signal portion of the first audio signal; a second pause detection means for detecting a signal portion; a third divisor storage means for counting and storing the number of times a pause has been detected by the second pause detection means; and an output of the second pause detection means. At the time when it is detected that the pause in the second audio signal has been canceled, it is possible to determine whether the pause in the first audio signal has also been canceled at approximately the same time by looking at the output information of the first pause detection means. a pause simultaneous release detection means for detecting whether the pause simultaneous release detecting means detects whether the pause simultaneous release detecting means detects the first
a high scale stored by the first count storage means; The number of times the transition to a lower scale was detected, the number of times the transition to a lower scale was detected, and the number of times it was detected that there was no change, and the number of times the transition to a higher scale was detected, which is stored in the second count storage means. A comparison operation is made between three pieces of information: the number of times the scale has been detected, the number of times it has been detected that there has been a transition to a lower scale, and the number of times that it has been detected that there has been no change, and the second pause stored in the third count storage means is further calculated. The number of times that a pause was detected by the detection means and the number of times that the pause of the first audio signal and the pause of the second audio signal were almost simultaneously stored by the fourth counting storage means. The degree to which the first audio signal matches the second audio signal is calculated as a score according to the ratio, and the final score is calculated by multiplying the result by a point reduction rate according to the degree of matching. A scoring device characterized by comprising a score dividing means. (2) Claim 1, characterized in that when the cancellation of the pause of the first audio signal is delayed by a certain period of time or more from the cancellation of the pause of the second audio signal, a deduction rate α1 is set. Scoring device as described. (3) When the second audio signal is not in a pause state, if the pause time width of the first audio signal is longer than a certain period of time, a point deduction rate α2 is set. Scoring device according to scope 1 item I. (4) When the second audio signal is not in a pause state, if the pause time width of the first audio signal is longer than a certain time, the deduction rate a
2 is set, and then when the second audio signal is in a pause state and there is no release of the pause for a certain period of time, the setting of the demerit rate α2 is canceled. Scoring device included in the first section of the range. (6) Points will be deducted if the ratio of the number of times the first audio signal does not pause when the second audio signal pauses and the number of times a pause is detected by the second pause detection means is greater than a certain value. Rate a
3. The scoring device according to claim 1, wherein a score of 3 is set. (6) Deduction rate α1. α2. 2. The scoring device according to claim 1, wherein the score calculation is performed by adopting the minimum value of α3.