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Proceedings ArticleDOI

Isolated-word recognition of the complete vocabulary of spoken Chinese

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TLDR
The possibility of using an automatic speech recognition system as a front end to a computer for Chinese-character processing is explored and some preliminary experiments are reported which indicate that the syllable inventory of spoken Standard Chinese belongs into the category of "difficult" vocabularies.
Abstract
The possibility of using an automatic speech recognition system as a front end to a computer for Chinese-character processing is explored in this paper. Aspects of the Chinese language are discussed in relation to the capabilities of current state-of-the-art isolated-word recognition systems. Some preliminary experiments are reported which indicate that the syllable inventory of spoken Standard Chinese belongs into the category of "difficult" vocabularies. The vocabulary size is of the order of 350 syllables with a large number of similar word pairs. Recognition rates using linear predictive coding, Itakura distance measures and dynamic time warping are of the order of 25-30%.

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Citations
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Journal ArticleDOI

Speech recognition of mandarin monosyllables

Tze Fen Li
- 01 Nov 2003 - 
TL;DR: The features proposed in this paper to represent the syllables are simple and easy to be extracted and the computation for feature extraction and classification is much faster than using the techniques of the HMM or any other known techniques.
Journal ArticleDOI

Special speech recognition approaches for the highly confusing Mandarin syllables based on hidden Markov models

TL;DR: Several special speech recognition approaches based on hidden Markov models (HMMs) are presented for the highly confusing Mandarin syllables by considering the characteristics of the vocabulary to provide better performance.
Journal ArticleDOI

A simple statistical speech recognition of mandarin monosyllables

TL;DR: The feature proposed in this paper to represent a syllable is the simplest one, much easier to be extracted than any other known features, and the computation for feature extraction and classification is much faster and more accurate than using the HMM method or any otherknown techniques.

Memory-based Tone Recognition of Cantonese Syllables

TL;DR: This thesis is the first of its kind in that it explores memory-based learning as a viable approach for Cantonese tone recognition and outperforms the highly respected and widely used neural network approach.
Proceedings ArticleDOI

A statistical speech recognition of Ningbo dialect monosyllables

TL;DR: The recognition rate is superior to that recognition rate of a general modeling method that modeling of training samples do not consider factor of regional variations in pronunciation and intonation, and there has a rise in robustness of speech recognition of Ningbo dialect.
References
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Journal ArticleDOI

Dynamic programming algorithm optimization for spoken word recognition

TL;DR: This paper reports on an optimum dynamic progxamming (DP) based time-normalization algorithm for spoken word recognition, in which the warping function slope is restricted so as to improve discrimination between words in different categories.
Journal ArticleDOI

Minimum prediction residual principle applied to speech recognition

TL;DR: A computer system is described in which isolated words, spoken by a designated talker, are recognized through calculation of a minimum prediction residual through optimally registering the reference LPC onto the input autocorrelation coefficients using the dynamic programming algorithm.