Results 51 to 60 of about 2,562 (160)
Implementation of Hybrid Speech Dereverberation Systems and Proposing Dual Microphone Farsi Database in Order to Evaluating Enhancement Systems [PDF]
In various applications, such as speech recognition and automatic teleconferencing, the recorded speech signals may be corrupted by both noise and reverberation. Reverberation causes a noticeable change in speech intelligibility and quality.
Farhad Faghani, Hamid Reza Abutalebi
doaj
System Identification with Applications in Speech Enhancement
As the increasing popularity of integrating hands-free telephony on mobile portable devices and the rapid development of voice over internet protocol, identification of acoustic systems has become desirable for compensating distortions introduced to ...
Lin, Xiang, Lin, Xiang
core +1 more source
Blind Speech Separation and Dereverberation using neural beamforming
13 pages, 9 ...
Lukas Pfeifenberger, Franz Pernkopf
openaire +2 more sources
Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings [PDF]
We tackle the multi-party speech recovery problem through modeling the acoustic of the reverberant chambers. Our approach exploits structured sparsity models to perform room modeling and speech recovery.
Asaei, Afsaneh +3 more
core +2 more sources
Robust Speech Recognition Using Generative Adversarial Networks
This paper describes a general, scalable, end-to-end framework that uses the generative adversarial network (GAN) objective to enable robust speech recognition.
Gaur, Yashesh +3 more
core +1 more source
Multichannel equalisation for high-order spherical microphone arrays using beamformed channels
High-order spherical microphone arrays offer many practical benefits including relatively fine spatial resolution in all directions and rotation invariant processing using eigenbeams. Spatial filtering can reduce interference from noise and reverberation
Evers, C, Moore, AH, Naylor, PA
core +1 more source
In acoustic multi-channel equalization techniques, such as complete multi-channel equalization based on the multiple-input/output inverse theorem (MINT), relaxed multi-channel least-squares (RMCLS), and partial multi-channel equalization based on MINT ...
Ina Kodrasi, Simon Doclo
doaj +1 more source
Speech Dereverberation Using Fully Convolutional Networks [PDF]
Speech derverberation using a single microphone is addressed in this paper. Motivated by the recent success of the fully convolutional networks (FCN) in many image processing applications, we investigate their applicability to enhance the speech signal represented by short-time Fourier transform (STFT) images. We present two variations: a "U-Net" which
Ernst, Ori +3 more
openaire +2 more sources
Speech Dereverberation With Context-Aware Recurrent Neural Networks [PDF]
Submitted to IEEE/ACM Transactions on Audio, Speech, and Language ...
Joao Felipe Santos, Tiago H. Falk
openaire +2 more sources
Iteratively Refined Multi-Channel Speech Separation
The combination of neural networks and beamforming has proven very effective in multi-channel speech separation, but its performance faces a challenge in complex environments.
Xu Zhang +3 more
doaj +1 more source

