A locally linear embbeding based postfiltering approach for speech enhancement

Yi Chiao Wu*, Hsin Te Hwang, Syu Siang Wang, Chin Cheng Hsu, Ying Hui Lai, Yu Tsao, Hsin Min Wang

*此作品的通信作者

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel postfiltering approach based on the locally linear embedding (LLE) algorithm for speech enchantment (SE). The aim of the proposed LLE-based postfiltering approach is to further remove the residual noise components from the SE-processed speech signals through a spectral conversion process, thereby increasing the signal-to-noise ratio (SNR) and speech quality. The proposed postfiltering approach consists of two phases. In the offline phase, paired SE-processed and clean speech exemplars are prepared for dictionary construction. In the online phase, the LLE algorithm is adopted to convert the SE-processed speech signals to the clean ones. The present study integrates the LLE-based postfiltering approach with a deep denoising autoencoder (DDAE) SE method, which has been confirmed to provide outstanding capability for noise reduction. Experimental results show that the proposed postfiltering approach can notably enhance the DDAE-based SE processed speech signals in different noise types and SNR levels.

原文English
主出版物標題2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面5555-5559
頁數5
ISBN(電子)9781509041176
DOIs
出版狀態Published - 16 6月 2017
事件2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
持續時間: 5 3月 20179 3月 2017

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

Conference

Conference2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
國家/地區United States
城市New Orleans
期間5/03/179/03/17

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