An empirical study on analysis window functions for text-independent speaker recognition

This paper describes the effect of analysis window functions on the performance of Mel Frequency Cepstral Coefficient (MFCC) based speaker recognition (SR). The MFCCs of speech signal are extracted from the fixed length frames using Short Time Fourier Analysis (STFA) technique where an appropriate a...

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Veröffentlicht in:	International journal of speech technology 2023-03, Vol.26 (1), p.211-220
Hauptverfasser:	Barai, Bidhan, Das, Nibaran, Basu, Subhadip, Nasipuri, Mita
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence B spline functions Classifiers Comparative studies Covariance matrix Empirical analysis Engineering Fourier analysis Frames (data processing) Performance evaluation Polynomials Probabilistic models Recognition Signal,Image and Speech Processing Silence Singularity (mathematics) Social Sciences Speaker identification Speech recognition Vector quantization Voice activity detectors Voice recognition Window functions
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