JPS5687170A - Pattern comparison system - Google Patents

Pattern comparison system

Info

Publication number
JPS5687170A
JPS5687170A JP16325779A JP16325779A JPS5687170A JP S5687170 A JPS5687170 A JP S5687170A JP 16325779 A JP16325779 A JP 16325779A JP 16325779 A JP16325779 A JP 16325779A JP S5687170 A JPS5687170 A JP S5687170A
Authority
JP
Japan
Prior art keywords
distance
word
result
vectors
characteristic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP16325779A
Other languages
Japanese (ja)
Inventor
Toshiyuki Sakai
Seiichi Nakagawa
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to JP16325779A priority Critical patent/JPS5687170A/en
Publication of JPS5687170A publication Critical patent/JPS5687170A/en
Pending legal-status Critical Current

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  • Image Processing (AREA)

Abstract

PURPOSE: To produce a remarkable effect on the recognition of word expression, by introducing the nonlinear matching method on the frequency axis and that on the spectral intensity axis, for that of time axis.
CONSTITUTION: The total sum of the distances between the characteristic vectors of the word audio pattern Au expressed in characteristic vector series a1 μ, a2 μ... aIμ μ and the characteristic vectors of the word audio pattern Bν expressed in characteristic vector series b1 ν, b2 ν...bJν ν registrated as the recognized word in advance, is obtained. It is obtained as follows: That is, the distance dμν(i,j) of the distance vectors ai μ and bi μ of the patterns Aμ and Bν can be obtained through the dynamic programming method as the function of components of vector ai μ and bj ν. Next, the result is divided with the number of stages of the dynamic programming, and the result obtained is taken as the distance of the patterns Aμ and Bν. Further, the smallest distance pattern Bν is taken as the result of recognition of Aμ.
COPYRIGHT: (C)1981,JPO&Japio
JP16325779A 1979-12-15 1979-12-15 Pattern comparison system Pending JPS5687170A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP16325779A JPS5687170A (en) 1979-12-15 1979-12-15 Pattern comparison system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP16325779A JPS5687170A (en) 1979-12-15 1979-12-15 Pattern comparison system

Publications (1)

Publication Number Publication Date
JPS5687170A true JPS5687170A (en) 1981-07-15

Family

ID=15770350

Family Applications (1)

Application Number Title Priority Date Filing Date
JP16325779A Pending JPS5687170A (en) 1979-12-15 1979-12-15 Pattern comparison system

Country Status (1)

Country Link
JP (1) JPS5687170A (en)

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