Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure
<p/> <p>This paper investigates the problem of speaker recognition in noisy conditions. A new approach called nonnegative tensor principal component analysis (NTPCA) with sparse constraint is proposed for speech feature extraction. We encode speech as a general higher-order tensor in ord...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2008-01-01
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| Series: | EURASIP Journal on Audio, Speech, and Music Processing |
| Online Access: | http://asmp.eurasipjournals.com/content/2008/578612 |