Performance of Speaker Recognition System in Mismatching Speaking Style (Record no. 14174)

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040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 13159
Author Brahmbhatt, Pinky J.
245 ## - TITLE STATEMENT
Title Performance of Speaker Recognition System in Mismatching Speaking Style
250 ## - EDITION STATEMENT
Volume, Issue number Vol 5 (3), Sep - Dec
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. STM Journals
Year 2018
300 ## - PHYSICAL DESCRIPTION
Pagination 58-65p.
520 ## - SUMMARY, ETC.
Summary, etc. Analysis of speaker recognition system under different speaking style and mismatch conditions is presented. Generally, in text independent speaker recognition system, the way of speaking style used remains the same in training and testing phase. Whisper speech is generally used quietly to convey secret information or to avoid disturbing others in quiet place, so hearing of speech is limited to nearby listener only. Source of excitation and vocal tractsystem contains speaker specific information. Vocal folds do not vibrate in whisper speech so source excitation related information is not present. Fast speech is a tendency to speak rapidly, as if motivated by urgency unobvious to listener. The CHAINS speech corpus: CHAracterizing INdividual Speakers database in whisper, solo and fast speaking style is used for performing experiments with Gaussian Mixture Modeling- Universal Background Modeling (GMM-UBM) approach with the most widely used feature Mel Frequency Cepstral Coefficients (MFCC). The mismatch condition in training and testing speaking style is observed from the experiments and the performance degradation is found to be high when mismatch of train-test condition is considered.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 13160
Co-Author Maradia, K. G.
773 0# - HOST ITEM ENTRY
Title Journal of artificial intelligence research and advances (JoAIRA)
Place, publisher, and date of publication Noida STM Journals
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URL http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=1922
Link text Click Here
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Koha item type Articles Abstract Database
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2021-02-02 2021-2021402 2021-02-02 2021-02-02 Articles Abstract Database
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