Improvement of esophageal speech by Adaptive Line Enhancement with bias model
Conference proceedings article
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Publication Details
Author list: Tuangpermsub N., Boonpranuk P., Polwisate W., Kayasith P.
Publisher: Hindawi
Publication year: 2008
Start page: 74
End page: 77
Number of pages: 4
ISBN: 9789810803681
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
The main objective of this research is to develop a portable speech enhancement device that would sequentially estimate clean speech and re-synthesis a more intelligible speech output for esophageal speaker. To resolve a real time processing problem, we propose a noise reducing algorithm called Adaptive Line Enhancement (ALE) [3][7] with bias model. [8] The method simultaneously reduces noises both from environment (or external noises) and from his/her voice (or internal noises) such as breathing noise, esophageal utterance noise. Incorporating a weighting coefficient bias into a conventional ALE filter, the filter has been proved empirically to perform better than the conventional one. In addition, the method can be applied without neither a laborious pre-training process nor a priori time consuming noise-power estimation.
Keywords
Adaptive Line Enhancement, Adaptive Line Enhancement with bias, ALE, Speech enhancement
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