Spatial multi-channel linear prediction for dereverberation of ad-hoc microphones

Pasha, Shahab; Ritz, Christian; Zou, Yue

doi:10.1109/apsipa.2017.8282306

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Multi-channel LP was developed for compact arrays and has applications, such as dereverberation [76] and compression [77,78].…”

Section: Spatial Multi-channel Linear Prediction (Lp)mentioning

confidence: 99%

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Pasha¹,

Lundgren²,

Ritz³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Given ubiquitous digital devices with recording capability, distributed microphone arrays are emerging recording tools for hands-free communications and spontaneous tele-conferencings. However, the analysis of signals recorded with diverse sampling rates, time delays, and qualities by distributed microphone arrays is not straightforward and entails important considerations. The crucial challenges include the unknown/changeable geometry of distributed arrays, asynchronous recording, sampling rate mismatch, and gain inconsistency. Researchers have recently proposed solutions to these problems for applications such as source localization and dereverberation, though there is less literature on real-time practical issues. This article reviews recent research on distributed signal processing techniques and applications. New applications benefitting from the wide coverage of distributed microphones are reviewed and their limitations are discussed. This survey does not cover partially or fully connected wireless acoustic sensor networks.

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“…Multi-channel LP was developed for compact arrays and has applications, such as dereverberation [76] and compression [77,78].…”

Section: Spatial Multi-channel Linear Prediction (Lp)mentioning

confidence: 99%

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Pasha¹,

Lundgren²,

Ritz³

et al. 2020

Adv. sci. technol. eng. syst. j.

Self Cite

View full text Add to dashboard Cite

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Multi-Channel Compression and Coding of Reverberant Ad-Hoc Recordings Through Spatial Autoregressive Modelling

Pasha

Lundgren

2019

2019 30th Irish Signals and Systems Conference (ISSC)

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Autoregressive modelling techniques such as multi-channel linear prediction are widely used for applications such as coding, dereverberation and compression of the speech signals. State of the art multi-channel linear prediction methods do not take into account the spatial locations of the microphones and assume single distance compact microphone arrays. In this paper a spatially modified multichannel autoregressive compression and coding method is proposed and successfully tested in order to adapt the standard multi-channel method to the virtual reality and immersive video conferencing applications where the microphones can be meters away from each other. The proposed method estimates the spatial distances between each microphone and the source to optimise the joint compression of the microphones covering a wide area. The results suggest that the proposed method outperforms the standard multi-channel compression and coding method when applied to the ad-hoc scenarios.

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A Survey on Ad Hoc Signal Processing: Applications, Challenges and State-of-the-Art Techniques

Pasha

Ritz

Lundgren

2019

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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Spatial multi-channel linear prediction for dereverberation of ad-hoc microphones

Cited by 4 publications

References 12 publications

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Multi-Channel Compression and Coding of Reverberant Ad-Hoc Recordings Through Spatial Autoregressive Modelling

A Survey on Ad Hoc Signal Processing: Applications, Challenges and State-of-the-Art Techniques

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