Signal processing in high-end hearing aids: State of the art, challenges, and future trends

V Hamacher, J Chalupper, J Eggers, E Fischer… - EURASIP Journal on …, 2005 - Springer
The development of hearing aids incorporates two aspects, namely, the audiological and the
technical point of view. The former focuses on items like the recruitment phenomenon, the …

Past review, current progress, and challenges ahead on the cocktail party problem

Y Qian, C Weng, X Chang, S Wang, D Yu - Frontiers of Information …, 2018 - Springer
The cocktail party problem, ie, tracing and recognizing the speech of a specific speaker
when multiple speakers talk simultaneously, is one of the critical problems yet to be solved …

[HTML][HTML] Machine learning in acoustics: Theory and applications

MJ Bianco, P Gerstoft, J Traer, E Ozanich… - The Journal of the …, 2019 - pubs.aip.org
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …

A consolidated perspective on multimicrophone speech enhancement and source separation

S Gannot, E Vincent… - … /ACM Transactions on …, 2017 - ieeexplore.ieee.org
Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

An analysis of environment, microphone and data simulation mismatches in robust speech recognition

E Vincent, S Watanabe, AA Nugraha, J Barker… - Computer Speech & …, 2017 - Elsevier
Speech enhancement and automatic speech recognition (ASR) are most often evaluated in
matched (or multi-condition) settings where the acoustic conditions of the training data …

Far-field automatic speech recognition

R Haeb-Umbach, J Heymann, L Drude… - Proceedings of the …, 2020 - ieeexplore.ieee.org
The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

[图书][B] Noise reduction in speech processing

J Benesty, J Chen, Y Huang, I Cohen - 2009 - books.google.com
Noise is everywhere and in most applications that are related to audio and speech, such as
human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids …

The LOCATA challenge: Acoustic source localization and tracking

C Evers, HW Löllmann, H Mellmann… - … on Audio, Speech …, 2020 - ieeexplore.ieee.org
The ability to localize and track acoustic events is a fundamental prerequisite for equipping
machines with the ability to be aware of and engage with humans in their surrounding …

New insights into the noise reduction Wiener filter

J Chen, J Benesty, Y Huang… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
The problem of noise reduction has attracted a considerable amount of research attention
over the past several decades. Among the numerous techniques that were developed, the …

Neural spectrospatial filtering

K Tan, ZQ Wang, DL Wang - IEEE/ACM Transactions on Audio …, 2022 - ieeexplore.ieee.org
As the most widely-used spatial filtering approach for multi-channel speech separation,
beamforming extracts the target speech signal arriving from a specific direction. An …