Segmental Quasi-Bayesian Learning of the Mixture Coefficients in SCHMM for Speech Recognition
International symposium on speech, image processing and neural networks, ISSIPNN '94 ; 1994 ; Hong Kong
1994-01-01
4 pages
In 2 vols; IEEE Cat no 94TH0638-7
Aufsatz (Konferenz)
Englisch
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Bayesian Gamma Mixture Model Approach to Radar Target Recognition
Online Contents | 2003
|Noise Adaptive Cepstral Coefficients and Its Application to Noisy Speech Recognition
British Library Conference Proceedings | 1994
|SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD
Europäisches Patentamt | 2019
|SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD
Europäisches Patentamt | 2020
|