AMIRAL: A Block-Segmental Multirecognizer Architecture for Automatic Speaker Recognition
- 1 January 2000
- journal article
- Published by Elsevier in Digital Signal Processing
- Vol. 10 (1-3) , 172-197
- https://doi.org/10.1006/dspr.1999.0367
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Speaker Verification Using Adapted Gaussian Mixture ModelsDigital Signal Processing, 2000
- Likelihood normalization for speaker verification using a phoneme- and speaker-independent modelSpeech Communication, 1995
- How do humans process and recognize speech?IEEE Transactions on Speech and Audio Processing, 1994
- On instantaneous and transitional spectral information for text-dependent speaker verificationSpeech Communication, 1990
- On the use of instantaneous and transitional spectral information in speaker recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Cepstral analysis technique for automatic speaker verificationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- Maximum Likelihood from Incomplete Data Via the EM AlgorithmJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977
- Selection of acoustic features for speaker identificationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1975