Significant improvement in the closed set text-independent speaker identification using features extracted from Nyquist filter bank

2010 5th International Conference on Industrial and Information Systems, ICIIS 2010

Volumn , Issue , 2010, Pages 303-308

  Sen, Nirmalya ^a   Basu, T K ^a   Patil, Hemant A ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b DHIRUBHAI AMBANI INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGY   (India)

Author keywords

Feature extraction; GMM; Nyquist filter; POLYCOST database; Speaker identification

Indexed keywords

CLEAN SPEECH; CLOSED SET; COMPUTATIONAL EFFORT; EXPERIMENTAL EVALUATION; FEATURE EXTRACTION TECHNIQUES; FEATURE SETS; GAUSSIAN MIXTURES; GMM; IDENTIFICATION ACCURACY; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; NOISY SPEECH; NYQUIST FILTERS; POLYCOST DATABASE; SPEAKER IDENTIFICATION; SPEAKER MODEL; TEXT-INDEPENDENT SPEAKER IDENTIFICATION;

DATABASE SYSTEMS; FILTER BANKS; INFORMATION SYSTEMS; LOUDSPEAKERS; SPEECH RECOGNITION;

FEATURE EXTRACTION;

EID: 77958586242     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIINFS.2010.5578690     Document Type: Conference Paper

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