Results 11 to 20 of about 22,680 (257)
Voice Activity Detection Optimized by Adaptive Attention Span Transformer
IEEE Access, 2023 Voice Activity Detection (VAD) is a widely used technique for separating vocal regions from audio signals, with applications in voice language coding, noise reduction, and other domains.
Wenpeng Mu, Bingshan Liu
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Voice activity detection in noisy conditions using tiny convolutional neural network
Informatika, 2020 The paper investigates the problem of voice activity detection from a noisy sound signal. An extremely compact convolutional neural network is proposed. The model has only 385 trainable parameters.
R. S. Vashkevich, E. S. Azarov
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Speech emotion recognition using wavelet packet reconstruction with attention-based deep recurrent neutral networks [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 Speech emotion recognition (SER) is a complicated and challenging task in the human-computer interaction because it is difficult to find the best feature set to discriminate the emotional state entirely. We always used the FFT to handle the raw signal in
Hao Meng +3 more
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Medicine in Novel Technology and Devices, 2023 Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms that significantly impact an individual's quality of life. Voice changes have shown promise as early indicators of PD, making voice analysis a valuable
Farhad Abedinzadeh Torghabeh +2 more
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HiVAD : A Voice Activity Detection Application Based on Deep Learning
Jurnal Elkomika, 2021 ABSTRAK Dalam tulisan ini, deteksi aktivitas suara disajikan pada smartphone secara realtime dengan jaringan saraf konvolusional. Pengurangan waktu komputasi adalah masalah dari studi sebelumnya.
MUHAMMAD HILMI FARIDH +1 more
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Homogeneity Test Based Voice Activity Detection
Al-Lisaniyyat, 2014 In this paper a new approach for voice activity detection (VAD) is proposed. This technique is based on homogeneity test of two autoregressive (AR) processes; each one models a speech window and involves the measure of a defined distance.
Ouahbi Rekik, Mustapha Djeddou
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Revista de Investigaciones Universidad del Quindío, 2016 The results obtained after comparing several algorithms which use basic methods of signal processing for speech activity detection of voice or VAD (Voice Activity Detection-VAD), were assessed in order to determine their effectiveness.
Horderlin Vrangel Robles +3 more
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Visual Voice Activity Detection in the Wild [PDF]
IEEE Transactions on Multimedia, 2016 The visual voice activity detection (V-VAD) problem in unconstrained environments is investigated in this paper. A novel method for V-VAD in the wild, exploiting local shape and motion information appearing at spatiotemporal locations of interest for facial video segment description and the bag of words model for facial video segment representation, is
Foteini Patrona +4 more
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An Efficient Android-Based Multimodal Biometric Authentication System With Face and Voice
IEEE Access, 2020 Multimodal biometric authentication method can conquer the defects of the unimodal biometric authentication technology. In this paper, we design and develop an efficient Android-based multimodal biometric authentication system with face and voice ...
Xinman Zhang +4 more
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Voice activity detection in nonstationary noise
IEEE Transactions on Speech and Audio Processing, 2000 A new fusion method for voice activity detection in additive nonstationary noise is suggested. A performance study of the methods: fusion, the geometrically adaptive energy level, periodicity measure, and zero crossings rates, is presented. The new method is shown to operate reliably down to -5 dB SNR.
S. Gökhun Tanyer, Hamza Özer
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