Results 21 to 30 of about 2,562 (160)
Dereverberation by Using Time-Variant Nature of Speech Production System
This paper addresses the problem of blind speech dereverberation by inverse filtering of a room acoustic system. Since a speech signal can be modeled as being generated by a speech production system driven by an innovations process, a reverberant signal ...
Masato Miyoshi +2 more
doaj +2 more sources
A multichannel learning-based approach for sound source separation in reverberant environments
In this paper, a multichannel learning-based network is proposed for sound source separation in reverberant field. The network can be divided into two parts according to the training strategies.
You-Siang Chen +2 more
doaj +1 more source
Speech dereverberation using a learned speech model [PDF]
We present a general single-channel speech dereverberation method based on an explicit generative model of reverberant and noisy speech. To regularize the model, we use a pre-learned speech model of clean and dry speech as a prior and perform posterior inference over the latent clean speech.
Dawen Liang +2 more
openaire +1 more source
More and more smart home devices with microphones come into our life in these years; it is highly desirable to connect these microphones as wireless acoustic sensor networks (WASNs) so that these devices can be better controlled in an enclosure.
Zhe Han +3 more
doaj +1 more source
Spherical microphone array acoustic rake receivers [PDF]
Several signal independent acoustic rake receivers are proposed for speech dereverberation using spherical microphone arrays. The proposed rake designs take advantage of multipaths, by separately capturing and combining early reflections with the direct ...
Javed, HA, Moore, AH, Naylor, PA
core +1 more source
A method for dereverberating speech based on linear prediction is developed in detail. By properly analyzing and resynthesizing speech that has been reverberated by a real room, it is possible to remove most of the reverberation. The algorithm will be described and tapes will be played.
openaire +1 more source
A reverberation-time-aware deep-neural-network (DNN)-based multi-channel speech dereverberation framework is proposed to handle a wide range of reverberation times (RT60s). There are three key steps in designing a robust system.
Bo Wu +6 more
doaj +1 more source
Multichannel Speech Separation and Enhancement Using the Convolutive Transfer Function [PDF]
This paper addresses the problem of speech separation and enhancement from multichannel convolutive and noisy mixtures, \emph{assuming known mixing filters}.
Gannot, Sharon +3 more
core +3 more sources
The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering to improve the speech intelligibility in such
Huan-Yu Dong, Chang-Myung Lee
doaj +1 more source
Noise Robust Blind System Identification Algorithms Based On A Rayleigh Quotient Cost Function [PDF]
An important prerequisite for acoustic multi-channel equalization for speech dereverberation involves the identification of the acoustic channels between the source and the microphones. Blind System Identification (BSI) algorithms based on cross-relation
Brookes, D +4 more
core +1 more source

