Results 21 to 30 of about 167,964,167 (121)
An Automatic Voice Test Method of HMI for Train with PerceptualEvaluation of Speech Quality
Kongzhi Yu Xinxi Jishu, 2021 During the train HMI speaker test, operator should judge the quality of voice by ear, which causes difference in HMI voice quality test by the influence of environment nosie, HMI assembly, etc.
GAO Feng, ZHANG Hongwei
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Доклады Белорусского государственного университета информатики и радиоэлектроники, 2020 The paper presents a speech generative model that provides an efficient way of generating speech waveform from its amplitude spectral envelopes. The model is based on hybrid speech representation that includes deterministic (harmonic) and stochastic ...
M. Taha +3 more
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The investigation of frame disturbance (FD) in perceptual evaluation speech quality (PESQ) as a perceptual metric [PDF]
, 2015 © 2006-2015 Asian Research Publishing Network (ARPN). Satisfying customers' needs economically is one of the important aspects in mobile communication industry.
A. Jusoh (23550760) +4 more
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IEEE Access, 2021 Watermarking is an important measure for protecting proprietary digital multimedia data. This paper presents a novel approach to achieving robust and imperceptible blind speech watermarking on a frame-by-frame basis.
Hwai-Tsu Hu +2 more
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Speech quality evaluation using digital watermarking
, 2006 Speech quality evaluation is a very important research topic. The Mean Opinion Score (MOS) is reliable but the listening test is very expensive, time consuming, and even impractical for some applications.
Cai, Libin
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Reliability of perceptions of voice quality: evidence from a problem asthma clinic population [PDF]
, 2009 <p>Introduction: Methods of perceptual voice evaluation have yet to achieve satisfactory consistency; complete acceptance of a recognised clinical protocol is still some way off.</p> <p>Materials and methods: Three speech and ...
Chapman, L.M. +13 more
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Options for Performing DNN-Based Causal Speech Denoising Using the U-Net Architecture
Applied System InnovationSpeech enhancement technology seeks to improve the quality and intelligibility of speech signals degraded by noise, particularly in telephone communications.
Hwai-Tsu Hu, Tung-Tsun Lee
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A Novel Approach to Speech Enhancement Based on Deep Neural Networks
Advances in Electrical and Computer Engineering, 2022 Minimum mean-square error (MMSE) approaches have been shown to achieve state-of-the-art performance on the task of speech enhancement. However, MMSE approaches lack the ability to accurately estimate non-stationary noise sources.
SALEHI, M., MIRZAKUCHAKI, S.
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Double-Talk Detection-Aided Residual Echo Suppression via Spectrogram Masking and Refinement
Acoustics, 2022 Acoustic echo in full-duplex telecommunication systems is a common problem that may cause desired-speech quality degradation during double-talk periods.
Eran Shachar +2 more
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Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition.
International Journal of Interactive Multimedia and Artificial IntelligenceTraditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being computationally efficient and
Sami Dhahbi +6 more
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