Results 131 to 140 of about 215 (163)

Calculating Inverse Filters for Speech Dereverberation

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008
Speech dereverberation is one of the most difficult tasks in acoustic signal processing. Of the various problems involved in this task, this paper highlights “over-whitening,” which flattens the characteristics of recovered speech. This distortion sometimes happens when inverse filters are directly calculated from microphone signals. This paper reviews
Masato Miyoshi, Marc Delcroix, Keisuke Kinoshita   +2 more
openaire   +1 more source

Amplitude Consistent Enhancement for Speech Dereverberation

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence, 2020
The mapping and masking methods based on deep learning are both essential methods for speech dereverberation at present, which typically enhance the amplitude of the reverberant speech while letting the reverberant phase unprocessed. The reverberant phase and enhanced amplitude are used to synthesize the target speech.
Chunlei Liu 0005, Longbiao Wang, Jianwu Dang 0001   +2 more
openaire   +1 more source

Cepstrum-based deconvolution for speech dereverberation

IEEE Transactions on Speech and Audio Processing, 1996
We present a blind deconvolution-based approach for the restoration of speech degraded by the acoustic environment. The proposed scheme processes the outputs of two microphones using cepstra operations and the theory of signal reconstruction from phase only.
Suresh Subramaniam, Athina P. Petropulu, Christopher Wendt   +2 more
openaire   +1 more source

Towards Speech Recognition Oriented Dereverberation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
We show the effect of reverberation on the speech recognition performance in a far-field microphone. Given the reference of a close-talk microphone signal, an improvement is shown using an asymmetric non-causal inverse filter both in a synthetic and real room environment.
Pamornpol Jinachitra, Ramon Prieto
openaire   +1 more source

Subband dereverberation algorithm for noisy environments

2012 IEEE International Conference on Emerging Signal Processing Applications, 2012
In hands-free voice applications (including voice communication and voice recognition), the captured signal is severely degraded by reverberation when a talker is further away from the microphone. Reverberation significantly degrades speech quality and speech recognition accuracy. As a result, it is necessary to suppress reverberation.
Guangji Shi, Changxue Ma
openaire   +1 more source

A context aware-based deep neural network approach for simultaneous speech denoising and dereverberation

Neural Computing and Applications, 2022
Sidheswar Routray, Qirong Mao, Mao Qirong   +2 more
exaly  

Single channel speech dereverberation and separation using RPCA and SNMF

Applied Acoustics, 2020
Md Shohidul Islam
exaly  

Constrained multichannel speech dereverberation

Interspeech 2012, 2012
Meng Yu 0003, Frank K. Soong
openaire   +1 more source

Speech Dereverberation Enhancement

2021
Othman O. Khalifa, Safiyah Hasmad, Noreha Abdul Malik   +2 more
openaire   +1 more source

Classification based binaural dereverberation

Interspeech 2013, 2013
Nicoleta Roman, Michael I. Mandel
openaire   +1 more source