Cauchi et al - REVERB Workshop 2014 JOINT DEREVERBERATION...

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JOINT DEREVERBERATION AND NOISE REDUCTION USING BEAMFORMING AND A SINGLE-CHANNEL SPEECH ENHANCEMENT SCHEME Benjamin Cauchi 1 , Ina Kodrasi 2 , Robert Rehr 2 , Stephan Gerlach 1 , Ante Juki´c 2 Timo Gerkmann 2 , Simon Doclo 1,2 , Stefan Goetze 1 1 Fraunhofer IDMT, Project Group Hearing, Speech and Audio Technology, Oldenburg, Germany 2 University of Oldenburg, Department of Medical Physics and Acoustics and Cluster of Excellence Hearing4All, Oldenburg, Germany [email protected] ABSTRACT The REVERB challenge provides a common framework for the evaluation of speech enhancement algorithms in the pres- ence of both reverberation and noise. This contribution pro- poses a system consisting of a commonly used combination of a beamformer with a single-channel speech enhancement scheme aiming at joint dereverberation and noise reduction. First, a minimum variance distortionless response beam- former with an on-line estimated noise coherence matrix is used to suppress the noise and possibly some reflections. The beamformer output is then processed by a single-channel speech enhancement scheme, incorporating temporal cep- strum smoothing which suppresses both reverberation and residual noise. Experimental results show that improvements are particularly significant in conditions with high reverbera- tion times. Index Terms REVERB challenge, dereverberation, noise reduction. 1. INTRODUCTION In teleconferencing applications, voice-controlled systems and hearing aids, the recorded speech signals are often cor- rupted by both reverberation and noise, resulting in speech quality and speech intelligibility degradation, as well as de- terioration in automatic speech recognition (ASR) perfor- mance. Several algorithms have been proposed in the litera- ture to deal with these issues [1–6], but the lack of a common evaluation framework made the comparison between differ- ent approaches difficult. The REVERB challenge proposes an evaluation framework aiming to facilitate the progress of speech enhancement algorithms for noisy and reverberant environments [7]. The research leading to these results has received funding from the EU Seventh Framework Programme project DREAMS under grant agreement ITN-GA-2012-316969, from the DFG Cluster of Excellence 1077 Hear- ing4All, from a GIF grant, and from the MWK PhD Program Signals and Cognition. The system proposed in this contribution consists of a commonly used combination of a beamformer and a single- channel speech enhancement scheme. First, the multi-channel input signals are processed using a minimum variance distor- tionless response (MVDR) beamformer [8], which aims to suppress sound sources not arriving from the direction of ar- rival (DOA) of the target speaker. The noise coherence matrix in the MVDR beamformer is estimated from noise-only peri- ods, determined using a voice activity detector (VAD) [9], and the DOA of the target speaker is estimated using the multiple signal classification (MUSIC) algorithm [10,11].
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  • Winter '14
  • Ms.Hariison
  • Speech recognition, RIR, IEEE Trans, SPEECH ENHANCEMENT

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