| Paper: | SLP-P4.9 | ||
| Session: | Speech Enhancement in Adverse Environments | ||
| Time: | Tuesday, May 16, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech Enhancement (for Impaired Situations) | ||
| Title: | SPEECH ENHAHANCEMENT BY MULTI-CHANNEL CROSSTALK RESISTANT ADAPTIVE NOISE CANCELLATION | ||
| Authors: | Qingning Zeng, Waleed H. Abdulla, University of Auckland, New Zealand | ||
| Abstract: | A novel Multi-channel Crosstalk Resistant Adaptive Noise Cancellation (MCRANC) algorithm is presented in this paper to enhance noise carrying speech signals. The algorithm would permit locating the microphones in close proximity as it cancels out the crosstalk effect. Results have indicated that this method outperforms the commonly used techniques in the sense of SNR improvement and speech intelligibility. A SNR improvement of 17.8dB using MCRANC keeping highly intelligible speech was achieved in our experiments versus 9.1dB using Multi-channel ANC (MANC) with far less speech quality. | ||
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