Results 121 to 130 of about 217 (166)
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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

Spherical harmonic rake receivers for dereverberation

2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), 2016
This paper presents the use of acoustic rake receivers for speech dereverberation applications. Formulated in the spherical harmonic domain, the proposed spatial filter designs exploit the multipath propagation of sound in an enclosure, by individually capturing early reflections and combining them with the direct path.
Hamza A. Javed   +2 more
openaire   +1 more source

Group sparsity for mimo speech dereverberation

2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015
Reverberation can severely affect the speech signals recorded in a room, possibly leading to a significantly reduced speech quality and intelligibility. In this paper we present a batch algorithm employing a signal model based on multi-channel linear prediction in the short-time Fourier transform domain. Aiming to achieve multiple-input multiple-output
Ante Jukic   +3 more
openaire   +1 more source

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   +2 more
openaire   +1 more source

Personalized Dereverberation of Speech

INTERSPEECH 2023, 2023
Ruilin Xu 0001   +3 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   +2 more
openaire   +1 more source

Frame-Online DNN-WPE Dereverberation

2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018
Signal dereverberation using the weighted prediction error (WPE) method has been proven to be an effective means to raise the accuracy of far-field speech recognition. But in its original formulation, WPE requires multiple iterations over a sufficiently long utterance, rendering it unsuitable for online low-latency applications.
Jahn Heymann   +4 more
openaire   +1 more source

Speech Dereverberation

Noise Control Engineering Journal, 2011
Patrick A. Naylor   +2 more
openaire   +1 more source

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

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

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