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Improved Jacobian Adaptation for Robust Speaker Verification Jan ANGUITA Javier HERNANDO Alberto ABAD Publication IEICE TRANSACTIONS on Information and Systems Vol.E88-D No.7 pp.1767-1770 Publication Date: 2005/07/01 Online ISSN: DOI: 10.1093/ietisy/e88-d.7.1767 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: Jacobian adaptation, robust speaker verification, Frequency Filtering, Full Text: PDF(313.3KB)>>
Summary: Jacobian Adaptation (JA) has been successfully used in Automatic Speech Recognition (ASR) systems to adapt the acoustic models from the training to the testing noise conditions. In this work we present an improvement of JA for speaker verification, where a specific training noise reference is estimated for each speaker model. The new proposal, which will be referred to as Model-dependent Noise Reference Jacobian Adaptation (MNRJA), has consistently outperformed JA in our speaker verification experiments. | ||||||||||
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