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Kernel eigenvoice

Speaker adaptation is an important technology to fine-tune either features or speech models for mis-match due to inter-speaker variation. In the last… 
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Papers overview

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2016
2016
This paper proposes a novel approach to construct a Deep Neural Network (DNN) based voice conversion (VC) system, where DNNs are… 
2011
2011
Kernelized eigenvoice methods, which apply a nonlinear transform in speaker space, have previously been proposed for rapid… 
2008
2008
For the problem of speaker adaptation in speech recognition, the performance depends on the availability of adaptation data. In… 
2006
2006
Recently, we proposed an improvement to the conventional eigenvoice (EV) speaker adaptation using kernel methods. In our novel… 
2005
2005
Eigenvoice techniques have been proposed to provide rapid speaker adaptation with very limited adaptation data, but the… 
2004
2004
  • B. MakJ. KwokS. Ho
  • 2004
  • Corpus ID: 40839386
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when only a small amount of adaptation data… 
2004
2004
Recently, we proposed an improvement to the eigenvoice (EV) speaker adaptation called kernel eigenvoice (KEV) speaker adaptation… 
2003
2003
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the… 
2003
2003
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the… 
2001
2001
This paper presents a new approach to improve the conventional eigenvoice technique. In the conventional eigenvoice, an…