Results 31 to 40 of about 192 (149)
Speech Dereverberation with a Reverberation Time Shortening Target
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the direct-path speech or optionally with some early reflections. This type of target suddenly truncates the reverberation, and thus it may not be suitable for network training.
Rui Zhou, Wenye Zhu, Xiaofei Li
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Deep Learning Methods for Underwater Target Feature Extraction and Recognition
Computational Intelligence and Neuroscience, Volume 2018, Issue 1, 2018., 2018 The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert‐Huang transform, and Mel frequency cepstral coefficients are used as a method of underwater acoustic signal feature extraction.
Gang Hu +6 more
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Blind‐Matched Filtering for Speech Enhancement with Distributed Microphones
Journal of Electrical and Computer Engineering, Volume 2012, Issue 1, 2012., 2012 A multichannel noise reduction and equalization approach for distributed microphones is presented. The speech enhancement is based on a blind‐matched filtering algorithm that combines the microphone signals such that the output SNR is maximized. The algorithm is developed for spatially uncorrelated but nonuniform noise fields, that is, the noise ...
Sebastian Stenzel +2 more
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Signal‐Based Performance Evaluation of Dereverberation Algorithms
Journal of Electrical and Computer Engineering, Volume 2010, Issue 1, 2010., 2010 We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the impulse response of the reverberating system. However, several important dereverberation algorithms
Patrick A. Naylor +3 more
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Inverse Filtering and Principal Component Analysis Techniques for Speech Dereverberation
Advances in Electrical and Electronic Engineering, 2016 In this work, we present a single channel approach for early and late reverberation suppression. This approach can be decomposed into two stages. The first stage employs the inverse filter to augment the signal-to-reverberant energy ratio.
Mohamed Anouar Ben Messaoud +1 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2021 Many modern smart devices are equipped with a microphone array and a loudspeaker (or are able to connect to one). Acoustic echo cancellation algorithms, specifically their multi-microphone variants, are essential components in such devices.
Nili Cohen +3 more
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EURASIP Journal on Advances in Signal Processing, 2007 Inverse filtering of room transfer functions (RTFs) is considered an attractive approach for speech dereverberation given that the time invariance assumption of the used RTFs holds.
Masato Miyoshi +2 more
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Reverberant environment embedding using dereverberation autoencoder
Electronics Letters, Volume 61, Issue 1, January/December 2025.We design a neural network architecture for dereverberation, combining linear prediction and dereverberation autoencoder. To improve reverberant speech recognition performance with low computational complexity, we propose a method to extract environmental embedding named DA‐embedding instead of applying dereverberation to the input of an acoustic model.
Sunchan Park, Hyung Soon Kim
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IET Signal Processing, Volume 2025, Issue 1, 2025.Active noise control (ANC) algorithms have been developed within the adaptive algorithm framework. However, multichannel ANC systems, which include numerous reference sensors, control speakers, and error microphones, require a very long control filter converging time for control filter estimation.
Hakjun Lee +2 more
wiley +1 more source
Model-Informed Speech Enhancement Using Virtual Room Acoustics and Acoustic Descriptor Optimization
SensorsReverberation and background noise remain persistent obstacles to achieving clear and intelligible speech in enclosed environments. Conventional data-driven or purely empirical dereverberation systems often perform well only under training conditions but
Samuel Yaw Mensah +3 more
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