Incorporation of Temporal Structure Into a Vector-Quantization-Based Preprocessor for Speaker-Independent, Isolated-Word Recognition
- 6 May 1985
- journal article
- website
- Published by Institute of Electrical and Electronics Engineers (IEEE) in AT&T Technical Journal
- Vol. 64 (5) , 1047-1063
- https://doi.org/10.1002/j.1538-7305.1985.tb00454.x
Abstract
Recently a new structure for isolated-word recognition was proposed in which a separate Vector Quantization (VQ) code book was designed for each word in the vocabulary. The word-based VQs were used as a front-end preprocessor to eliminate word candid...Keywords
This publication has 8 references indexed in Scilit:
- An efficient vector-quantization preprocessor for speaker independent isolated word recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A modified K-means clustering algorithm for use in isolated work recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- A Vector Quantizer Combining Energy and LPC Parameters and Its Application to Isolated Word RecognitionAT&T Bell Laboratories Technical Journal, 1984
- Discrete utterance speech recognition without time alignmentIEEE Transactions on Information Theory, 1983
- Speaker-independent isolated word recognition using a 129-word airline vocabularyThe Journal of the Acoustical Society of America, 1982
- A simplified, robust training procedure for speaker trained, isolated word recognition systemsThe Journal of the Acoustical Society of America, 1980
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980
- Speaker-independent recognition of isolated words using clustering techniquesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1979