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

Exploring Convolutional Neural Networks for Voice Activity Detection

2017 ◽  
pp. 37-47 ◽  
Author(s):  
Diego Augusto Silva ◽  
José Augusto Stuchi ◽  
Ricardo P. Velloso Violato ◽  
Luís Gustavo D. Cuozzo
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Voice Activity

Voice activity detection in movies using multi-class deep neural networks

2016 ◽  
Vol 140 (4) ◽  
pp. 3116-3116 ◽  
Author(s):  
Ikumi Suga ◽  
Ryu Yasuhara ◽  
Masashi Inoue ◽  
Tetsuo Kosaka
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Voice Activity

scholarly journals Robust Voice Activity Detection with Deep Maxout Neural Networks

2015 ◽  
Vol 9 (8) ◽  
Author(s):  
Valentin Sergeyevich Mendelev ◽  
Tatiana Nikolaevna Prisyach ◽  
Alexey Alexandrovich Prudnikov
Keyword(s):  
Neural Networks ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
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

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