Results 11 to 20 of about 30,269 (257)

Speech Enhancement Method Based on Quasi Recurrent Neural Network [PDF]

open access: yesJisuanji gongcheng, 2020
In the deep learning based speech enhancement model,the Long Short-Term Memory Network(LSTM) can well handle the sequence speech enhancement problem,but the training speed of the model is slow when dealing with speech enhancement problems based on large ...
LOU Yingxi, YUAN Wenhao, PENG Rongqun
doaj   +1 more source

MASS: Microphone Array Speech Simulator in Room Acoustic Environment for Multi-Channel Speech Coding and Enhancement

open access: yesApplied Sciences, 2020
Multi-channel speech coding and enhancement is an indispensable technology in speech communication. In order to verify the effectiveness of multi-channel speech coding and enhancement methods in the research and development, a microphone array speech ...
Rui Cheng, Changchun Bao, Zihao Cui
doaj   +1 more source

Exploring conventional enhancement and separation methods for multi‐speech enhancement in indoor environments

open access: yesCognitive Computation and Systems, 2021
Speech enhancement is an important preprocessing step in a wide diversity of practical fields related to speech signals, and many signal‐processing methods have already been proposed for speech enhancement.
Yangjie Wei   +3 more
doaj   +1 more source

Robust intelligibility and quality evaluation of combined temporal and spectral processing for hearing impaired

open access: yesIntelligent Systems with Applications, 2022
Hearing-impaired people face numerous challenges with speech perception in the presence of interfering background noise. To suppress interfering background noise, the common approach widely used is speech enhancement.
Hemangi Shinde, Vibha Vyas
doaj   +1 more source

Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain

open access: yesEURASIP Journal on Advances in Signal Processing, 2017
Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the loudspeakers and the microphone(s).
Naveen Kumar Desiraju   +2 more
doaj   +1 more source

Multi‐stage attention network for monaural speech enhancement

open access: yesIET Signal Processing, 2023
Although current attention‐based speech enhancement methods have been proven to be capable of significantly improving the noise reduction performance, a bottleneck has arisen in juggling both detailed features and high‐level features: The more attention ...
Kunpeng Wang   +4 more
doaj   +1 more source

The Minimum Overlap-Gap Algorithm for Speech Enhancement

open access: yesIEEE Access, 2022
In this paper, we propose a novel speech enhancement paradigm which can effectively solve the problem of retrieving a desired speech signal in a multi-talker environment. The proposed speech enhancement paradigm involves a three-step procedure consisting
Poul Hoang   +3 more
doaj   +1 more source

Vocal Pitch Discrimination in Children with and without Vocal Fold Nodules

open access: yesApplied Sciences, 2019
Vocal pitch discrimination abilities were compared in sixteen children with vocal fold nodules (CwVN) and sixteen matched controls with typical voices (CwTV).
Elizabeth S. Heller Murray   +4 more
doaj   +1 more source

Speech Enhancement via EMD [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2008
In this study, two new approaches for speech signal noise reduction based on the empirical mode decomposition (EMD) recently introduced by Huang et al. (1998) are proposed. Based on the EMD, both reduction schemes are fully data-driven approaches. Noise signal is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs ...
Kais Khaldi   +3 more
openaire   +3 more sources

Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering

open access: yesApplied Sciences, 2023
Speech enhancement has been extensively studied and applied in the fields of automatic speech recognition (ASR), speaker recognition, etc. With the advances of deep learning, attempts to apply Deep Neural Networks (DNN) to speech enhancement have ...
Shaoxiong Lin   +2 more
doaj   +1 more source

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