Robust voice activity detection based on LSTM recurrent neural networks and modulation spectrum

2017 ◽  
Author(s):  
Phuttapong Sertsi ◽  
Surasak Boonkla ◽  
Vataya Chunwijitra ◽  
Nattapong Kurpukdee ◽  
Chai Wutiwiwatchai
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Modulation Spectrum ◽  
Voice Activity

scholarly journals ViVoVAD: a Voice Activity Detection Tool based on Recurrent Neural Networks

2019 ◽  
Vol 7 ◽  
Author(s):  
Pablo Gimeno Jordán ◽  
Ignacio Viñals Bailo ◽  
Alfonso Ortega Giménez ◽  
Antonio Miguel Artiaga ◽  
Eduardo Lleida Solano
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Audio Signal ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Detection Tool ◽  
Voice Activity

Voice Activity Detection (VAD) aims to distinguishcorrectly those audio segments containing humanspeech. In this paper we present our latest approachto the VAD task that relies on the modellingcapabilities of Bidirectional Long Short TermMemory (BLSTM) layers to classify every frame inan audio signal as speech or non-speech

scholarly journals Linear detector and neural networks in cascade for voice activity detection in hearing aids

2021 ◽  
Vol 175 ◽  
pp. 107832
Author(s):  
Joaquín García-Gómez ◽  
Roberto Gil-Pita ◽  
Miguel Aguilar-Ortega ◽  
Manuel Utrilla-Manso ◽  
Manuel Rosa-Zurera ◽  
...  
Keyword(s):  
Neural Networks ◽  
Hearing Aids ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Linear Detector ◽  
Voice Activity

Deep Neural Networks for Voice Activity Detection

2021 ◽  
Author(s):  
Serban Mihalache ◽  
Ioan-Alexandru Ivanov ◽  
Dragos Burileanu
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Voice Activity
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