Binaural Dereverberation

Tsilfidis, Alexandros; Westermann, Adam; Buchholz, Jörg M.; Georganti, Eleftheria; Mourjopoulos, John

doi:10.1007/978-3-642-37762-4_14

Cited by 6 publications

(6 citation statements)

References 74 publications

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“…Some of them are in a research state and not yet available for implementation in hearing aids. An overview of specific binaural dereverberation algorithms can be found in the study by Tsilfidis et al 42 In the dereverberation algorithm proposed by Westermann et al, 43 the short-term interaural coherence (IC) is computed between the left and right hearing aid microphone signals. A nonlinear sigmoid mapping function associates some gain values to the computed IC.…”

Section: Binaural Signal Processing In Hearing Aidsmentioning

confidence: 99%

Binaural Signal Processing in Hearing Aids

et al. 2021

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For many years, clinicians have understood the advantages of listening with two ears compared with one. In addition to improved speech intelligibility in quiet, noisy, and reverberant environments, binaural versus monaural listening improves perceived sound quality and decreases the effort listeners must expend to understand a target voice of interest or to monitor a multitude of potential target voices. For most individuals with bilateral hearing impairment, the body of evidence collected across decades of research has also found that the provision of two compared with one hearing aid yields significant benefit for the user. This article briefly summarizes the major advantages of binaural compared with monaural hearing, followed by a detailed description of the related technological advances in modern hearing aids. Aspects related to the communication and exchange of data between the left and right hearing aids are discussed together with typical algorithmic approaches implemented in modern hearing aids.

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Section: Binaural Signal Processing In Hearing Aidsmentioning

confidence: 99%

Binaural Signal Processing in Hearing Aids

et al. 2021

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“…A more detailed description of the left and right-ear BRIRs can be found in [59]. The magnitude spectra of the binaural signals, X l (ω) and X r (ω) in dB are given as follows,…”

Section: Differential Spectral Standard Deviationmentioning

confidence: 99%

Extracting Sound-Source-Distance Information from Binaural Signals

Georganti

May

Par

et al. 2013

The Technology of Binaural Listening

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“…T L denotes the onset time of late reverberation, which generally ranges from 50 ms to 100 ms [34]. Hence, the received binaural signals in Eq.…”

Section: B Reverberation Weightingmentioning

confidence: 99%

Binaural Sound Localization Based on Reverberation Weighting and Generalized Parametric Mapping

Pang

Liu

Zhang

et al. 2017

IEEE/ACM Trans. Audio Speech Lang. Process.

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Abstract-Binaural sound source localization is an important technique for speech enhancement, video conferencing and human-robot interaction, etc. However, in realistic scenarios, the reverberation and environmental noise would degrade the precision of sound direction estimation. Therefore, reliable sound localization is essential to practical applications. To deal with these disturbances, this paper presents a novel binaural sound source localization approach based on reverberation weighting and generalized parametric mapping. Firstly, the reverberation weighting as a pre-processing stage, is used to separately suppress the early and late reverberation, while preserving interaural cues. Then, two binaural cues, i.e., interaural time and intensity differences, are extracted from the frequencydomain representations of dereverberated binaural signals for the online localization. Their corresponding templates are established using the training data. Furthermore, the generalized parametric mapping is proposed to build a generalized parametric model for describing relationships between azimuth and binaural cues analytically. Finally, a two-step sound localization process is introduced to refine azimuth estimation based on the generalized parametric model and template matching. Experiments in both simulated and real scenarios validate that the proposed method can achieve better localization performance compared to stateof-the-art methods.

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Binaural Dereverberation

Cited by 6 publications

References 74 publications

Binaural Signal Processing in Hearing Aids

Binaural Signal Processing in Hearing Aids

Extracting Sound-Source-Distance Information from Binaural Signals

Binaural Sound Localization Based on Reverberation Weighting and Generalized Parametric Mapping

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