Results 1 to 10 of about 6,722,797 (230)
Detection of COVID-19 from speech signal using bio-inspired based cepstral features. [PDF]
Pattern Recognit, 2021 The early detection of COVID-19 is a challenging task due to its deadly spreading nature and existing fear in minds of people. Speech-based detection can be one of the safest tools for this purpose as the voice of the suspected can be easily recorded ...
Dash TK +4 more
europepmc +2 more sources
Deep Factorization for Speech Signal [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 Various informative factors mixed in speech signals, leading to great difficulty when decoding any of the factors. An intuitive idea is to factorize each speech frame into individual informative factors, though it turns out to be highly difficult ...
Dong Wang +4 more
semanticscholar +6 more sources
ICASSP 2023 Speech Signal Improvement Challenge [PDF]
IEEE Open Journal of Signal Processing, 2023 The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems.
Ross Cutler +5 more
semanticscholar +1 more source
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
Sanyuan Chen +16 more
semanticscholar +1 more source
Semantic Communications for Speech Signals [PDF]
ICC 2021 - IEEE International Conference on Communications, 2021 We consider a semantic communication system for speech signals, named DeepSC-S. Motivated by the breakthroughs in deep learning (DL), we make an effort to recover the transmitted speech signals in the semantic communication systems, which minimizes the error at the semantic level rather than the bit level or symbol level as in the traditional ...
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
openaire +2 more sources
RSS-Based Cooperative Localization and Orientation Estimation Exploiting Antenna Directivity
IEEE Access, 2021 In this paper, we propose a factor-graph-based cooperative positioning algorithm that uses RSS radio measurements and accounts for the directivity of the antennas. This is achieved by modeling the directivity with a parametric antenna pattern and jointly
Lukas Wielandner +2 more
doaj +1 more source
Complex & Intelligent Systems, 2021 Emotion recognition system from speech signal is a widely researched topic in the design of the Human–Computer Interface (HCI) models, since it provides insights into the mental states of human beings.
Palani Thanaraj Krishnan +2 more
semanticscholar +1 more source
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis. [PDF]
, 2020 In the field of digital signal processing, the function of a filter is to remove unwanted parts of the signal such as random noise that is also undesirable. To remove noise from the speech signal transmission or to extract useful parts of the signal such
Prajoy Podder +3 more
semanticscholar +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
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