Shubam Sachdeva,Haoyao Ruan,Ghassan Hamarneh et al.
Shubam Sachdeva et al.
Clearly articulated speech, relative to plain-style speech, has been shown to improve intelligibility. We examine if visible speech cues in video only can be systematically modified to enhance clear-speech visual features and improve intell...
Retraction Note: An adaptive speech signal processing for COVID-19 detection using deep learning approach [0.03%]
撤回 notice:使用深度学习方法适应性处理COVID-19检测中的语音信号
Kawther A Al-Dhlan
Kawther A Al-Dhlan
[This retracts the article DOI: 10.1007/s10772-021-09878-0.]. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of ...
Retraction of Publication
International journal of speech technology. 2022;25(Suppl 1):31. DOI:10.1007/s10772-022-09993-6 2022
The perception of emotional cues by children in artificial background noise [0.03%]
儿童在人工背景噪声中对情感暗示的感知能力研究
Emilia Parada-Cabaleiro,Anton Batliner,Alice Baird et al.
Emilia Parada-Cabaleiro et al.
Most typically developed individuals have the ability to perceive emotions encoded in speech; yet, factors such as age or environmental conditions can restrict this inherent skill. Noise pollution and multimedia over-stimulation are common ...
An adaptive speech signal processing for COVID-19 detection using deep learning approach [0.03%]
基于深度学习的自适应语音信号处理的新冠肺炎检测方法
Kawther A Al-Dhlan
Kawther A Al-Dhlan
Researchers and scientists have been conducting plenty of research on COVID-19 since its outbreak. Healthcare professionals, laboratory technicians, and front-line workers like sanitary workers, data collectors are putting tremendous effort...
A novel stochastic deep resilient network for effective speech recognition [0.03%]
一种有效的语音识别随机深度弹性网络新方法
Shilpi Shukla,Madhu Jain
Shilpi Shukla
Speech recognition is a subjective occurrence. This work proposes a novel stochastic deep resilient network(SDRN) for speech recognition. It uses a deep neural network (DNN) for classification to predict the input speech signal. The hidden ...
Public opinion mining using natural language processing technique for improvisation towards smart city [0.03%]
基于自然语言处理技术的民意挖掘研究——以智慧城市建设为例
S Leelavathy,M Nithya
S Leelavathy
In this digital world integrating smart city concepts, there is a tremendous scope and need for e-governance applications. Now people analyze the opinion of others before purchasing any product, hotel booking, stepping onto restaurants etc....
Recognizing the message and the messenger: biomimetic spectral analysis for robust speech and speaker recognition [0.03%]
见招拆招：鲁棒的语音和说话人识别及仿生光谱分析
Sridhar Krishna Nemala,Kailash Patil,Mounya Elhilali
Sridhar Krishna Nemala
Humans are quite adept at communicating in presence of noise. However most speech processing systems, like automatic speech and speaker recognition systems, suffer from a significant drop in performance when speech signals are corrupted wit...