Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
Local models and Gaussian mixture models for statistical data processing
Local models and Gaussian mixture models for statistical data processing
Hidden Markov Models for Speech Recognition
Hidden Markov Models for Speech Recognition
Broadcast News Transcription Using HTK
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
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This paper proposes a method to estimate the a priori probability for speakers based on the training data set, speaker models and a fuzzy estimation technique. Speaker identification experiments performed on 138 Gaussian mixture speaker models in the YOHO database using the priors estimated by the fuzzy estimation method showed lower error rates than using those estimated by the probabilistic estimation method.