Applying matrix quantization to isolated word recognition
- 23 March 2005
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 10, 29-32
- https://doi.org/10.1109/icassp.1985.1168457
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- A database for speaker-independent digit recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Experimental comparison among data compression techniques in isolated word recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Vector quantization and Markov source models applied to speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Isolated word recognition using phoneme-like templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Isolated-word speech recognition using multisection vector quantization codebooksIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- Discrete utterance speech recognition without time alignmentIEEE Transactions on Information Theory, 1983
- On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word RecognitionBell System Technical Journal, 1983
- Distortion performance of vector quantization for LPC voice codingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Distortion measures for speech processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980