Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
The Influence of Frame Length on Speaker Identification Performance
IAS '07 Proceedings of the Third International Symposium on Information Assurance and Security
A fast prototyping system for speech recognition based on a visual object oriented environment
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Pitch mean based frequency warping
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Pseudo pitch synchronous analysis of speech with applications to speaker recognition
IEEE Transactions on Audio, Speech, and Language Processing
A multi-resolution multi-classifier system for speaker verification
Expert Systems: The Journal of Knowledge Engineering
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In this paper an approach based on the use of different frame lengths for the feature extraction process in the training and recognition phases of a speaker verification system is presented. It is able to sensibly reduce the ER and the degradation on performance related to the training/verification feature mismatch. The potentiality of the approach are investigated in an a-posteriori search of the best combination to be adopted. A prototype of an expert system is also presented in order to automatically search, in real time operating conditions, the optimal combination of parameters. Tests have been performed on a set of speakers whose speech productions were spanned over approximately 3 months.