| Paper: | SP-P6.7 | ||
| Session: | Feature Analysis for ASR, TTS, and Verification | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Feature Extraction | ||
| Title: | FRACTIONAL FOURIER TRANSFORM FEATURES FOR SPEECH RECOGNITION | ||
| Authors: | Ruhi Sarikaya; IBM T. J. Watson Research Center | ||
| Yuqing Gao; IBM T. J. Watson Research Center | |||
| George Saon; IBM T. J. Watson Research Center | |||
| Abstract: | In this paper a novel speech signal representation method is presented. The proposed method is based on the Fractional Fourier transform (FrFT), which is a generalization of the classical Fourier transform (FT). Even though we use FrFT in feature extraction for speech recognition, it can very well be used in other areas such as enhancement, verification, and synthesis, where parametric representation of speech is needed. Experimental results conducted on the Aurora 2 database show significant improvements over MFCCs at high SNR conditions. | ||
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