Technical mismatches between the training and matching conditions adversely affect the performance of a speaker recognition system. In this paper, we present a matching scheme which is invariant to feature rotation, translation and uniform scaling. The proposed approach uses a neighborhood graph to
β¦ LIBER β¦
Practical speaker-independent voice recognition using segmental features
β Scribed by Tatsuya Kimura; Akira Ashida; Katsuyuki Niyada
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 727 KB
- Volume
- 87
- Category
- Article
- ISSN
- 8756-663X
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