Speech enhancement via combination of Wiener filter and blind source separation
2011 (English)In: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China (ISKE2011), 2011, 485-494 p.Conference paper (Refereed)
Automatic speech recognition (ASR) often fails in acoustically noisy environments. Aimed to improve speech recognition scores of an ASR in a real-life like acoustical environment, a speech pre-processing system is proposed in this paper, which consists of several stages: First, a convolutive blind source separation (BSS) is applied to the spectrogram of the signals that are pre-processed by binaural Wiener filtering (BWF). Secondly, the target speech is detected by an ASR system recognition rate based on a Hidden Markov Model (HMM). To evaluate the performance of the proposed algorithm, the signal-to-interference ratio (SIR), the improvement signal-to-noise ratio (ISNR) and the speech recognition rates of the output signals were calculated using the signal corpus of the CHiME database. The results show an improvement in SIR and ISNR, but no obvious improvement of speech recognition scores. Improvements for future research are suggested.
Place, publisher, year, edition, pages
2011. 485-494 p.
, Advances in Intelligent and Soft Computing, ISSN 18675662 ; 124
ASR, BSS, BWF, Automatic speech recognition, Convolutive blind source separation, Noisy environment, Output signal, Pre-processing, Recognition rates, Signal to noise, Signal-to-interference ratio, Spectrograms, Target speech, Wiener filtering, WIENER filters, Blind source separation, Hidden Markov models, Intelligent systems, Knowledge engineering, Separation, Signal to noise ratio, Speech communication, Speech enhancement, Speech recognition
IdentifiersURN: urn:nbn:se:kth:diva-150662DOI: 10.1007/978-3-642-25658-5_58ISI: 000307258900058ScopusID: 2-s2.0-84855232635ISBN: 9783642256578OAI: oai:DiVA.org:kth-150662DiVA: diva2:745937
Sixth International Conference on Intelligent Systems and Knowledge Engineering (ISKE2011), Shanghai, China, December 15–17, 2011
FunderEU, European Research Council
QC 201409112014-09-112014-09-082015-01-26Bibliographically approved