Large-vocabulary spoken word recognition using simplified time-warping patterns

Y. Nara; K. Iwata; Y. Kijima; A. Kobayashi; S. Kimura; S. Sasaki; J. Tanahashi

doi:10.1109/ICASSP.1982.1171514

Large-vocabulary spoken word recognition using simplified time-warping patterns

Y. Nara, K. Iwata, Y. Kijima, A. Kobayashi, S. Kimura, S. Sasaki, J. Tanahashi

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

We propose a new matching algorithm for large vocabulary spoken word recognition, which gives a recognition score compatible to that of the traditional DP matching algorithm, but requires less than 1/10 as much calculation. By a computer simulation of 1,000 categories in speaker dependent recognition of speech samples uttered by five male adult speakers, an average recognition score of 95.8% was obtained. We have constructed a real-time speaker dependent speech recognizer using our algorithm. We are now examining the application of this recognizer to Japanese text input.

Original language	English
Article number	1171514
Pages (from-to)	1266-1269
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	1982-May
DOIs	https://doi.org/10.1109/ICASSP.1982.1171514
Publication status	Published - 1982
Externally published	Yes
Event	1982 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1982 - Paris, France Duration: 1982 May 3 → 1982 May 5

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.1982.1171514

Cite this

@article{fbbd3f48dbab4e8fa77350a7b63ec8ea,

title = "Large-vocabulary spoken word recognition using simplified time-warping patterns",

abstract = "We propose a new matching algorithm for large vocabulary spoken word recognition, which gives a recognition score compatible to that of the traditional DP matching algorithm, but requires less than 1/10 as much calculation. By a computer simulation of 1,000 categories in speaker dependent recognition of speech samples uttered by five male adult speakers, an average recognition score of 95.8% was obtained. We have constructed a real-time speaker dependent speech recognizer using our algorithm. We are now examining the application of this recognizer to Japanese text input.",

author = "Y. Nara and K. Iwata and Y. Kijima and A. Kobayashi and S. Kimura and S. Sasaki and J. Tanahashi",

note = "Publisher Copyright: {\textcopyright} 1982 IEEE.; 1982 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1982 ; Conference date: 03-05-1982 Through 05-05-1982",

year = "1982",

doi = "10.1109/ICASSP.1982.1171514",

language = "English",

volume = "1982-May",

pages = "1266--1269",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Large-vocabulary spoken word recognition using simplified time-warping patterns

AU - Nara, Y.

AU - Iwata, K.

AU - Kijima, Y.

AU - Kobayashi, A.

AU - Kimura, S.

AU - Sasaki, S.

AU - Tanahashi, J.

PY - 1982

Y1 - 1982

N2 - We propose a new matching algorithm for large vocabulary spoken word recognition, which gives a recognition score compatible to that of the traditional DP matching algorithm, but requires less than 1/10 as much calculation. By a computer simulation of 1,000 categories in speaker dependent recognition of speech samples uttered by five male adult speakers, an average recognition score of 95.8% was obtained. We have constructed a real-time speaker dependent speech recognizer using our algorithm. We are now examining the application of this recognizer to Japanese text input.

AB - We propose a new matching algorithm for large vocabulary spoken word recognition, which gives a recognition score compatible to that of the traditional DP matching algorithm, but requires less than 1/10 as much calculation. By a computer simulation of 1,000 categories in speaker dependent recognition of speech samples uttered by five male adult speakers, an average recognition score of 95.8% was obtained. We have constructed a real-time speaker dependent speech recognizer using our algorithm. We are now examining the application of this recognizer to Japanese text input.

UR - http://www.scopus.com/inward/record.url?scp=84910794191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84910794191&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.1982.1171514

DO - 10.1109/ICASSP.1982.1171514

M3 - Conference article

AN - SCOPUS:84910794191

SN - 1520-6149

VL - 1982-May

SP - 1266

EP - 1269

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

M1 - 1171514

T2 - 1982 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1982

Y2 - 3 May 1982 through 5 May 1982

ER -

Large-vocabulary spoken word recognition using simplified time-warping patterns

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this