A modified K-means clustering algorithm for use in isolated work recognition
- 1 June 1985
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Acoustics, Speech, and Signal Processing
- Vol. 33 (3) , 587-594
- https://doi.org/10.1109/tassp.1985.1164581
Abstract
No abstract availableThis publication has 19 references indexed in Scilit:
- A segment vocoder at 150 b/sPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Very low data rate speech compression with LPC vector and matrix quantizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Discrete utterance recognition based upon source coding techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Discrete utterance speech recognition without time alignmentIEEE Transactions on Information Theory, 1983
- An 800 bit/s vector quantization LPC vocoderIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Least squares quantization in PCMIEEE Transactions on Information Theory, 1982
- Speaker-independent isolated word recognition for a moderate size(54 word)vocabularyIEEE Transactions on Acoustics, Speech, and Signal Processing, 1979
- Considerations in dynamic time warping algorithms for discrete word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Linear Prediction of SpeechPublished by Springer Nature ,1976
- Minimum prediction residual principle applied to speech recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1975