Results 161 to 170 of about 2,944 (228)
Speech dereverberation in noisy environments using time-frequency domain signal models
, 2018 Sebastian Braun
openalex +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Evaluation of a dereverberation technique
Journal of Communication Disorders, 1991A two-microphone dereverberation technique was evaluated by obtaining speech recognition measures and preference judgments from normal-hearing and hearing-impaired listeners. Monaural speech recognition performance was measured for two reverberation conditions (0.4 second and 1.2 seconds) with and without processing.
A C, Neuman, L, Eisenberg
openaire +2 more sources
IEEE/ACM Transactions on Audio Speech and Language Processing, 2022
Reverberation, whichis caused by late reflections, impairs not only speech quality but also intelligibility. Consequently, dereverberation, a process to mitigate the impact of reverberation, has attracted significant research interests.
Gongping Huang +3 more
semanticscholar +1 more source
Reverberation, whichis caused by late reflections, impairs not only speech quality but also intelligibility. Consequently, dereverberation, a process to mitigate the impact of reverberation, has attracted significant research interests.
Gongping Huang +3 more
semanticscholar +1 more source
Dual microphone speech dereverberation
2007 9th International Symposium on Signal Processing and Its Applications, 2007This paper addresses the problem of intelligibility and quality improvement for the speech corrupted due to reverberation. Several speech de-reverberation algorithms (both single- and two-channel methods) are studied and compared. Based on this study, we propose some hybrid methods to improve both intelligibility and quality of reverberated speech. The
Hamid Reza Abutalebi, Farhad Faghani
openaire +1 more source
Real-Time Denoising and Dereverberation wtih Tiny Recurrent U-Net
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021Modern deep learning-based models have seen outstanding performance improvement with speech enhancement tasks. The number of parameters of state-of-the-art models, however, is often too large to be deployed on devices for real-world applications. To this
Hyeong-Seok Choi +5 more
semanticscholar +1 more source
Human capabilities of dereverberation
The Journal of the Acoustical Society of America, 2000Humans listening to speech in a small room are frequently unaware of reverberation. It is unknown if neurological processes remove these echoes or if they are simply disregarded when speech is phonetically processed. In other words, is there a neurological mechanism that is capable of removing echoes to create a clean speech neurological signal before ...
Brad W. Libbey, Peter H. Rogers
openaire +1 more source
Low-Complexity Neural Speech Dereverberation With Adaptive Target Control
IEEE International Conference on Acoustics, Speech, and Signal ProcessingExisting neural network-based speech dereverberation approaches use a fixed-length early reflection part of the reverberant signal as the target for estimation, irrespective of the severity of reverberation. Such an approach often leads to distortions in
Nagashree K. S. Rao +4 more
semanticscholar +1 more source
Geometrically Constrained Source Extraction and Dereverberation Based on Joint Optimization
European Signal Processing Conference, 2023Source extraction, which aims at extracting the target source signals from the observed reverberant mixtures, plays an important role in voice communication and human-machine interfaces.
Yichen Yang +5 more
semanticscholar +1 more source
A Hybrid Model for Weakly-Supervised Speech Dereverberation
IEEE International Conference on Acoustics, Speech, and Signal ProcessingThis paper introduces a new training strategy to improve speech dereverberation systems using minimal acoustic information and reverberant (wet) speech.
Louis Bahrman +2 more
semanticscholar +1 more source