Fundamentals of speech recognition
Fundamentals of speech recognition
Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
ACM Computing Surveys (CSUR)
Self-Organizing Maps
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Neural Networks
A tutorial on text-independent speaker verification
EURASIP Journal on Applied Signal Processing
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The aim of this study is to provide a quantitative assessment of the speaker discriminating properties of broad phonetic groups. GMM based approach to speaker modelling is used in conjunction with a phonetically hand-labelled speech database (TIMIT) to produce broad phonetic group ranking based on speaker identification scores. The broad phonetic groups nasals and vowels were found to be particularly speaker specific. Experiments show that the homogeneity of the speech material may improve the quality of speaker identification.