Improved Jacobian Adaptation for Robust Speaker Verification(Speech and Hearing)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2005-07-01

著者

• Abad Alberto

  Talp Research Center Universitat Politecnica De Catalunya (upc)

• ANGUITA Jan

  TALP Research Center, Universitat Politecnica de Catalunya (UPC)

• HERNANDO Javier

  TALP Research Center, Universitat Politecnica de Catalunya (UPC)

• Anguita Jan

  Talp Research Center Universitat Politecnica De Catalunya (upc)

• Hernando Javier

  Upc Barcelona Esp

• Hernando Javier

  Talp Research Center(upc)

関連論文

• Improved Jacobian Adaptation for Robust Speaker Verification(Speech and Hearing)
• Assessment of On-Line Model Quality and Threshold Estimation in Speaker Verification(Speech and Hearing)

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