{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T10:05:45Z","timestamp":1777284345511,"version":"3.51.4"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"4","license":[{"start":{"date-parts":[[2014,2,10]],"date-time":"2014-02-10T00:00:00Z","timestamp":1391990400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The performance of most of the state-of-the-art speaker recognition (SR) systems deteriorates under degraded conditions, owing to mismatch between the training and testing sessions. This study focuses on the front end of the speaker verification (SV) system to reduce the mismatch between training and testing. An adaptive voice activity detection (VAD) algorithm using zero-frequency filter assisted peaking resonator (ZFFPR) was integrated into the front end of the SV system. The performance of this proposed SV system was studied under degraded conditions with 50 selected speakers from the NIST 2003 database. The degraded condition was simulated by adding different types of noises to the original speech utterances. The different types of noises were chosen from the NOISEX-92 database to simulate degraded conditions at signal-to-noise ratio levels from 0 to 20 dB. In this study, widely used 39-dimension Mel frequency cepstral coefficient (MFCC; i.e., 13-dimension MFCCs augmented with 13-dimension velocity and 13-dimension acceleration coefficients) features were used, and Gaussian mixture model\u2013universal background model was used for speaker modeling. The proposed system\u2019s performance was studied against the energy-based VAD used as the front end of the SV system. The proposed SV system showed some encouraging results when EMD-based VAD was used at its front end.<\/jats:p>","DOI":"10.1515\/jisys-2013-0085","type":"journal-article","created":{"date-parts":[[2014,2,10]],"date-time":"2014-02-10T15:15:05Z","timestamp":1392045305000},"page":"359-378","source":"Crossref","is-referenced-by-count":4,"title":["Speaker Verification Under Degraded Conditions Using Empirical Mode Decomposition Based Voice Activity Detection Algorithm"],"prefix":"10.1515","volume":"23","author":[{"given":"M. S.","family":"Rudramurthy","sequence":"first","affiliation":[{"name":"Department of Information Science and Engineering, S.I.T., Tumkur 572 103, Karnataka State, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V. Kamakshi","family":"Prasad","sequence":"additional","affiliation":[{"name":"Department of Computer Science, JNTUH, Kukatpally, Hyderabad 500 085, A.P. State, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Kumaraswamy","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, S.I.T., Tumkur 572 103, Karnataka State, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2014,2,10]]},"container-title":["Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/view\/journals\/jisys\/23\/4\/article-p359.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2013-0085\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2013-0085\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T17:28:39Z","timestamp":1764955719000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2013-0085\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2,10]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2014,4,16]]},"published-print":{"date-parts":[[2014,12,1]]}},"alternative-id":["10.1515\/jisys-2013-0085"],"URL":"https:\/\/doi.org\/10.1515\/jisys-2013-0085","relation":{},"ISSN":["2191-026X","0334-1860"],"issn-type":[{"value":"2191-026X","type":"electronic"},{"value":"0334-1860","type":"print"}],"subject":[],"published":{"date-parts":[[2014,2,10]]}}}