A frequency-weighted Itakura spectral distortion measure and its application to speech recognition in noise
- 24 March 2005
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 12, 625-628
- https://doi.org/10.1109/icassp.1987.1169899
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- On the use of bandpass liftering in speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A new model of LPC excitation for producing natural-sounding speech at low bit ratesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Comparative study of several distortion measures for speech recognitionSpeech Communication, 1985
- A modified K-means clustering algorithm for use in isolated work recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- The Effects of Selected Signal Processing Techniques on the Performance of a Filter-Bank-Based Isolated Word RecognizerBell System Technical Journal, 1983
- Noise compensation for autoregressive spectral estimatesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- Spectral smoothing technique in PARCOR speech analysis-synthesisIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Minimum prediction residual principle applied to speech recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1975