| Paper: | SP-L4.6 | ||
| Session: | Higher-Level Knowledge in Speaker Recognition | ||
| Time: | Wednesday, May 19, 17:10 - 17:30 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Speaker Recognition | ||
| Title: | IMPROVEMENT OF SPEAKER RECOGNITION BY COMBINING RESIDUAL AND PROSODIC FEATURES WITH ACOUSTIC FEATURES | ||
| Authors: | Shi-Han Chen; National Tsing Hua University | ||
| Hsiao-Chuan Wang; National Tsing Hua University | |||
| Abstract: | When a speech signal is encoded in some low bit-rate coding formats, it becomes more difficult in distinguishing the speaker identities. This paper investigates the codec effect to acoustic and prosodic features. A new representation of prosodic features is introduced. The inclusion of residual features is based on LDA algorithm. By combining residual and prosodic features with the acoustic features, we can improve the performance of speaker recognition system. A series of experiments is performed with coded speech affected by G.729A and GSM codec process to demonstrate the effectiveness of our proposed method. | ||
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