JPH02250096A - Speech recognition system - Google Patents

Abstract

PURPOSE:To improve the recognition rate by selecting a pattern by another standard pattern selecting means while one standard pattern selecting means in a pattern selection process period. CONSTITUTION:A selecting means 11 selects a standard pattern selecting means A9 until a standard pattern selecting means A9 enters the pattern selection process period, and then selects a standard pattern selecting means B10. Then when the standard pattern selecting means B10 enters the pattern selection process period, the standard pattern selecting means A9 is selected again and the serial operation is repeated thereafter. Consequently, a period wherein speech recognition is impossible is eliminated.

Description

DETAILED DESCRIPTION OF THE INVENTION Field of Industrial Application The present invention relates to a speech recognition system for recognizing word speech manually produced by specific speakers and unspecified speakers and performing various processes using the speech. It concerns a particular speaker.

2. Description of the Related Art Conventionally, a voice recognition system for a vending machine such as a vending machine for cup beverages (hereinafter simply referred to as a cup vending machine), as shown in FIG. The input voice is analyzed by the voice analysis means 2 to extract voice patterns.BPF (Band Path Fl.
lter) A method is used to sample the analysis results on the time axis and frequency axis and digitally process the intensity. The standard pattern storage means 3 stores, as standard patterns, audio patterns of a plurality of discrete words uttered by a large number of unspecified speakers extracted by a similar method. However, the words stored as standard patterns here are the names of flavors sold in cup vending machines (product names of beverages such as coffee juice) and some response words (yes, no, hot, ice cream, etc.).

Then, the standard pattern selection means 4 selects the standard pattern closest to the input cover turn from among the standard patterns as DP (Dy
This method recognizes selected speech using a matching method (namlc programming). The DP matching method is translated as dynamic programming, and was developed in the United States in 1957 by Be
This is a method of mathematical programming proposed by llman, and is applied to the optimization of multi-stage decision processes. The method is to make a certain decision (control) at each stage and transform the situation, while maximizing/minimizing the number of steps to evaluate the goodness/badness of the process until reaching the goal. In addition, when the speech recognition system corresponds to a specific speaker, the speech pattern of the recognized word uttered by the specific speaker is registered in the standard pattern storage means 3; The utterance guiding means 5, which registers some representative patterns among the voice patterns of recognized words uttered by a large number of speakers, is constituted by a voice synthesizing means, and adjusts the user's utterance according to the control means 6, which will be described later. Encourage vocal utterances to encourage. However, the flavor salts are clearly marked on the panel on the front of the cup vending machine, and the user must select one of the flavor salts for pregnancy and say it out loud. The control means 6 instructs the utterance guidance means 5 to utter a guidance voice according to the process, recognizes the words uttered by the user from among the standard patterns selected by the standard pattern selection means 4, and uses the recognition results to This is to control the operation of the cup vending machine. Further, 7 is a coin receiving means for receiving coins and refunding change, and 8 is a beverage discharging means for pouring and conveying the selected flavor into a cup.

Next, FIG. 5 shows the voice recognition possible period of the conventional voice recognition system for vending machines, where tl is the voice end confirmation period, t2
is the pattern selection processing period. From FIG. 5, it can be seen that speech recognition is impossible during periods tl and t2.

Problems to be Solved by the Invention However, the method described above has the disadvantage that the recognition rate decreases because the voice of the speaker cannot be recognized during the periods tl and t2.

The present invention solves the above-mentioned conventional problems, and aims to provide a speech recognition system with a high recognition rate by eliminating the period t2 during which speech recognition is not possible.

Means for Solving the Problems To achieve this object, the speech recognition system of the present invention includes a standard pattern storage means that stores a group of standard patterns of a plurality of discrete word sounds, and a standard pattern storage means that analyzes the speech of a speaker and generates speech patterns. a speech analysis means for extracting, a plurality of standard pattern selection means for selecting from the standard pattern group a standard pattern closest to the speech pattern extracted by the speech analysis means, and any standard among the plurality of standard pattern selection means. It has a configuration consisting of a selection means for selecting a pattern selection means, and a utterance guidance means for guiding a speaker to utter a word.

Effect With this configuration, by having a plurality of standard pattern selection means, when one standard pattern selection means is in the pattern selection processing period, the other standard pattern selection means performs pattern selection processing, thereby preventing voice recognition failure. It is possible to eliminate the possible period t2- and realize a speech recognition system with a high recognition rate.

EXAMPLE An example of the present invention will be described below with reference to the drawings.

In this embodiment, a voice recognition system for unspecified speakers is applied to a cup vending machine. However, among the structural requirements, those having the same configuration as the conventional example are given the same numbers and explanations are omitted. FIG. 1 shows a functional block diagram of a speech recognition system in an embodiment of the present invention. 9.10 are standard pattern selection means A and quasi-pattern selection means B, respectively, which select the standard pattern closest to the input pattern from among the standard patterns by DP (Dynamlc Pro).
This method recognizes selected speech using a matching method (gramlng). Reference numeral 11 denotes a selection means, which selects one of the plurality of standard pattern selection means 9 and 10.

FIG. 2 shows the speech recognition possible period of the speech recognition system for vending machines in the embodiment of the present invention.

tl is a voice end confirmation period, and t2 and t21 are pattern selection processing periods.

As shown in FIG. 2, the selection means 11 selects the standard pattern selection means A9 until the standard pattern selection means A9 enters a pattern selection processing period, and thereafter selects the standard pattern selection means B10. . Then, when the standard pattern selection means BIO enters a pattern selection processing period, it selects the standard pattern selection means A9 again,
This series of operations is then repeated. Therefore, for example, when a speaker utters ``um (voice input period), coffee (voice input period)'', in the conventional voice recognition system for vending machines, the voice ``coffee'' is not recognized by the standard pattern selection means A9. Pattern selection processing period Cn
However, in the embodiment of the present invention, it is recognized by the standard pattern selection means B10.

The vending operation of the voice recognition system for a cup vending machine configured as described above will be explained using the flowchart shown in FIG. In FIG. 3, first, step 20
1, the coin recipient J! ! It is determined whether a coin has been inserted in step 27, and if a coin has been inserted, step 20
Proceed to step 2. In step 202, the voice guidance means 5 guides the customer by saying, "Welcome, what would you like to have?" and waits for the customer to say the flavor name. Then, in step 208, the standard pattern selection means A9 or the standard pattern selection means BIO selects a standard pattern closest to the input voice pattern from among the standard patterns stored in the standard pattern storage means 3. Recognize flavor names. In step 204, it is determined whether or not the recognition result in step 203 is appropriate, and if it is rejected, the process proceeds to step 205, where the utterance guidance means 5 prompts "Please answer again", and the process returns to 203.

On the other hand, if the request is not rejected, the process advances to step 206.

In step 206, the subsequent operation is branched depending on the flavor recognized in step 208, but in this embodiment, it is assumed that coffee has been recognized, and the operation when another flavor name is recognized is the same as in the case of coffee. Since it is similar, the explanation is omitted. Step 207
Then, the voice guidance means 5 confirms, ``It's coffee,'' and waits for the customer's response.In step 208, the customer recognizes the yes or no response in the same manner as the flavor name.

In step 209, it is determined whether the recognition result in step 208 is appropriate or not, and in the case of rejection, step 207
If not, proceed to step 210. In step 210, if the answer recognized in step 208 is yes, the process advances to step 211; if the answer is no, the process returns to step 205.

In step 211, the control means 6 pours and transports coffee into a cup using the beverage transport means 8. and,
In step 212, if there is change, the change is refunded by the coin receiving means 7, and finally, in step 213
Then, the voice guiding means 5 utters "Thank you very much" and the series of operations ends.

As described above, according to this embodiment, by having a plurality of standard pattern selection means, when one standard pattern selection means enters the pattern selection processing period, the other standard pattern selection means enters the speech analysis result acquisition period. Therefore, voice recognition is now possible even during periods when voice recognition was previously impossible. For example, when a speaker is unsure about choosing a flavor, the probability that the voice will be recognized even if he or she utters, ``Um, (flavor name).'' As a result, the recognition rate of the speech recognition system improves, the number of rejections decreases, and the speaker can communicate smoothly, which has great effects.

Effects of the Invention As described above, the speech recognition system of the present invention includes: a standard pattern storage means that stores a group of standard patterns of a plurality of discrete word sounds; a speech analysis means that analyzes a speaker's speech and extracts a speech pattern; a plurality of standard pattern storage means for selecting a standard pattern closest to the speech pattern extracted by the speech analysis means from the standard pattern group; and a selection for selecting one of the plurality of standard pattern selection means. By providing means and a voice guidance means for guiding the speaker to utter a word, when one standard pattern selection means is in the pattern selection processing period, the other standard pattern selection means can import the voice analysis results. Since the period is entered, speech recognition is now possible even during a period in which speech recognition was previously impossible, making it possible to realize a speech recognition system with a high recognition rate.

[Brief explanation of drawings]

FIG. 1 is a functional block diagram of a speech recognition system according to an embodiment of the present invention, FIG. 2 is an explanatory diagram of the speech recognition possible period of the speech recognition system according to an embodiment of the present invention, and FIG. 3 is an embodiment of the present invention. FIG. 4 is a functional block diagram of the conventional speech recognition system, and FIG. 5 is an explanatory diagram of the speech recognition possible period of the conventional speech recognition system. 2... Voice analysis means, 3... Standard pattern storage means, 5... Vocal guidance means, 9... Standard pattern selection means A, 10... Standard pattern selection means B, 11...
means of selection. Nunm Kinutokorokushi〉 Kuzu no +l■ Ward

Claims (1)

[Claims] a standard pattern storage means that stores a group of standard patterns of a plurality of discrete word sounds, a voice analysis means that analyzes the voice of a speaker and extracts a voice pattern, and a standard pattern that is closest to the voice pattern extracted by the voice analysis means. a plurality of standard pattern selection means for selecting from the standard pattern group; a selection means for selecting one of the plurality of standard pattern selection means; and utterance for inducing a speaker to utter the word. A voice recognition system comprising a guidance means.