| Paper: | SLP-P12.2 | ||
| Session: | Speech Processing for Reverberation, Quantization and Enhancement | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech Enhancement (for Impaired Situations) | ||
| Title: | Spectral subtraction steered by multi-step forward linear prediction for single channel speech dereverberation | ||
| Authors: | Keisuke Kinoshita, Tomohiro Nakatani, Masato Miyoshi, NTT Corporation, Japan | ||
| Abstract: | A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades Automatic Speech Recognition (ASR) performance. In this paper, we propose a novel dereverberation method utilizing multi-step forward linear prediction. It precisely estimates and suppresses the late reflections, which constitute a major cause of ASR performance degradation. Our experimental results showed that the proposed method can improve ASR performance significantly even without using special adaptation methods such as multi-condition acoustic model training. | ||
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