Results 1 to 10 of about 26,608 (116)

Frequency, Time, Representation and Modeling Aspects for Major Speech and Audio Processing Applications

Sensors, 2022
There are many speech and audio processing applications and their number is growing. They may cover a wide range of tasks, each having different requirements on the processed speech or audio signals and, therefore, indirectly, on the audio sensors as ...
Juraj Kacur, Boris Puterka, Jarmila Pavlovicova, Milos Oravec   +3 more
doaj   +3 more sources

Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding

Aerospace, 2023
Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). The handling of these voice communications requires high levels of awareness from ATCos and can be tedious and ...
Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad, Petr Motlicek, Driss Khalil, Srikanth Madikeri, Allan Tart, Igor Szoke, Vincent Lenders, Mickael Rigault, Khalid Choukri   +10 more
doaj   +1 more source

Effective Dereverberation with a Lower Complexity at Presence of the Noise

Applied Sciences, 2022
Adaptive beamforming and deconvolution techniques have shown effectiveness for reducing noise and reverberation. The minimum variance distortionless response (MVDR) beamformer is the most widely used for adaptive beamforming, whereas multichannel linear ...
Fengqi Tan, Changchun Bao, Jing Zhou
doaj   +1 more source

Packet Loss Concealment Based on Phase Correction and Deep Neural Network

Applied Sciences, 2022
In a packet switching network, the performance of packet loss concealment (PLC) is often affected by inaccurate estimation of phase spectrum of speech signal in the lost packet.
Qiang Ji, Changchun Bao, Zihao Cui
doaj   +1 more source

A Full Loading-Based MVDR Beamforming Method by Backward Correction of the Steering Vector and Reconstruction of the Covariance Matrix

Applied Sciences, 2022
In order to improve the performance of the diagonal loading-based minimum variance distortionless response (MVDR) beamformer, a full loading-based MVDR beamforming method is proposed in this paper. Different from the conventional diagonal loading methods,
Jing Zhou, Changchun Bao
doaj   +1 more source

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

Applied 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

Wav2vec‐MoE: An unsupervised pre‐training and adaptation method for multi‐accent ASR

Electronics Letters, 2023
In real life, either the subjective factors of speakers or the objective environment degrades the performance of automatic speech recognition (ASR).
Yuqin Lin, Shiliang Zhang, Zhifu Gao, Longbiao Wang, Yanbing Yang, Jianwu Dang   +5 more
doaj   +1 more source

APPLICATION OF PARTIAL LEAST SQUARES REGRESSION FOR AUDIO-VISUAL SPEECH PROCESSING AND MODELING [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2015
Subject of Research. The paper deals with the problem of lip region image reconstruction from speech signal by means of Partial Least Squares regression. Such problems arise in connection with development of audio-visual speech processing methods.
A. L. Oleinik
doaj   +1 more source

Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals

IEEE Access, 2020
Depression disorder has become one of the major psychological diseases endangering human health. Researcher in the affective computing community is supporting the development of reliable depression severity estimation system, from multiple modalities ...
Le Yang, Dongmei Jiang, Hichem Sahli
doaj   +1 more source

The integration of continuous audio and visual speech in a cocktail-party environment depends on attention

NeuroImage, 2023
In noisy environments, our ability to understand speech benefits greatly from seeing the speaker's face. This is attributed to the brain's ability to integrate audio and visual information, a process known as multisensory integration.
Farhin Ahmed, Aaron R. Nidiffer, Aisling E. O'Sullivan, Nathaniel J. Zuk, Edmund C. Lalor   +4 more
doaj   +1 more source