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article · Journal of the Acoustical Society of Japan (E) · 1995

A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences.

Takashi Komori, Shigeru Katagiri

Cited by 6Open access

Abstract

To overcome the lack of theoretical basis of a fundamental, word spotting-based approach to the recognition of natural, spontaneous speech utterances, we propose in this paper a novel spotter (spotting system) design method referred to as Minimum Error Classification of Keyword-sequences (MECK).A key concept of the method is to formalize the entire spotting process as a trainable functional form with the design objective being the keyword-sequence (a string of prescribed keyword categories) classification accuracy.A resulting MECK procedure allows one to design spotters in an efficient way of using only pairs of utterances and their corresponding phonemic transcriptions (not requiring hand-segmented labels) as well as in a mathematically-proven way consistent with the error minimization of the keyword-sequence classification.MECK is quite general and can be applied to any reasonable spotter structure.The paper specially presents implementation details for a prototype-based spotter and demonstrates the utility of this MECK-trained spotter in several Japanese keyword spotting tasks.

Cite this paper

APA 7

Komori, T., & Katagiri, S. (1995). A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences. Journal of the Acoustical Society of Japan (E), 16(3), 147–157. https://doi.org/10.1250/ast.16.147

MLA 9

Komori, Takashi, and Shigeru Katagiri. “A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences.” Journal of the Acoustical Society of Japan (E), vol. 16, no. 3, 1995, pp. 147–57, https://doi.org/10.1250/ast.16.147.

Chicago

Komori, Takashi, and Shigeru Katagiri. 1995. “A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences.” Journal of the Acoustical Society of Japan (E) 16 (3): 147–57. https://doi.org/10.1250/ast.16.147.

Harvard

Komori, T. and Katagiri, S. (1995) ‘A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences’, Journal of the Acoustical Society of Japan (E), 16(3), pp. 147–157. Available at: https://doi.org/10.1250/ast.16.147.

BibTeX
@article{komori1995novel,
  title = {{A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences.}},
  author = {Komori, Takashi and Katagiri, Shigeru},
  journal = {Journal of the Acoustical Society of Japan (E)},
  volume = {16},
  number = {3},
  pages = {147--157},
  year = {1995},
  doi = {10.1250/ast.16.147}
}

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