Results 121 to 130 of about 220 (167)
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Study on Speech Dereverberation with Autocorrelation Codebook

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
This paper proposes a new speech dereverberation approach based on a statistical speech model. An autocorrelation codebook is introduced as a model that can represent time-varying short-time speech characteristics corresponding to the cepstrum and harmonics.
Tomohiro Nakatani   +6 more
openaire   +2 more sources

A Novel Approach for Dereverberation of Speech Signals

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 2019
In this paper, we propose a novel higher-order statistics based approach to estimate the room impulse response (RIR) of a reverberating auditorium. The RIR is then used to dereverberate the speech signal. It is assumed that the RIR does not change for a brief period of time called the coherence time.
Sauradeep Dey, Pradip Sircar
openaire   +2 more sources

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

Human capabilities of dereverberation

The Journal of the Acoustical Society of America, 2000
Humans 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

Personalized Dereverberation of Speech

INTERSPEECH 2023, 2023
Ruilin Xu 0001   +3 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

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

Speech Dereverberation

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

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