Single-channel speech separation using empirical mode decomposition and multi pitch information with estimation of number of speakers
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-016-9392-y
Abstract: Speech separation is an essential part of any voice recognition system like speaker recognition, speech recognition and hearing aids etc. When speech separation is applied at the front-end of any voice recognition system increases the… read more here.
Keywords: speech; information; speech separation; multi pitch ... See more keywords
Monaural speech separation using GA-DNN integration scheme
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2019.107140
Abstract: Abstract In this research work, we propose the model based on the Genetic Algorithm (GA) and Deep Neural Network (DNN) to enhance the quality and intelligibility of the noisy speech. In this proposed model, the… read more here.
Keywords: quality intelligibility; mask; speech; model ... See more keywords
Deep neural networks based binary classification for single channel speaker independent multi-talker speech separation
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107385
Abstract: Abstract Speech separation is an important task of separating a target speech from the mixture signals. Speaker-independent multi-talker speech separation is a challenging task due to unpredictability of the target and interfering speech in the… read more here.
Keywords: speech; target; speaker independent; speech separation ... See more keywords
Dual-Path Hybrid Attention Network for Monaural Speech Separation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193245
Abstract: Recent advances in the time-domain speech separation methods, particularly those specialized in using attention mechanisms to model sequences, have significantly improved speech separation performance. In this paper, we address monaural (one microphone) speaker separation, mainly… read more here.
Keywords: hybrid attention; dual path; path hybrid; attention ... See more keywords
Complex Neural Spatial Filter: Enhancing Multi-Channel Target Speech Separation in Complex Domain
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3076374
Abstract: To date, mainstream target speech separation (TSS) approaches are formulated to estimate the complex ratio mask (cRM) of target speech in time-frequency domain under supervised deep learning framework. However, the existing methods are designed in… read more here.
Keywords: complex domain; target; multi channel; speech separation ... See more keywords
Distributed Microphones Speech Separation by Learning Spatial Information With Recurrent Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3188178
Abstract: With the development of deep neural networks, multi-channel speech separation techniques with fixed array geometries have achieved remarkable performance. However, distributed microphone array processing remains a challenging problem because it requires the network to be… read more here.
Keywords: neural network; separation; speech separation; recurrent neural ... See more keywords
Alias-and-Separate: Wideband Speech Coding Using Sub-Nyquist Sampling and Speech Separation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3207381
Abstract: Decimation of a discrete-time signal below the Nyquist rate without applying an appropriate lowpass filter results in a distortion called aliasing. If wideband speech sampled at 16 kHz is decimated by 2 to result in… read more here.
Keywords: speech; wideband; speech coding; wideband speech ... See more keywords
Multichannel Variational Autoencoder-Based Speech Separation in Designated Speaker Order
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14122514
Abstract: The multichannel variational autoencoder (MVAE) integrates the rule-based update of a separation matrix and the deep generative model and proves to be a competitive speech separation method. However, the output (global) permutation ambiguity still exists… read more here.
Keywords: speaker; multichannel variational; variational autoencoder; separation ... See more keywords