A comprehensive empirical review of modern voice activity detection approaches for movies and TV shows

Author:

Sharma Mayank,Joshi Sandeep,Chatterjee Tamojit,Hamid Raffay

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference95 articles.

1. Robust speech activity detection in movie audio: Data resources and experimental evaluation;Hebbar,2019

2. S. Chaudhuri, J. Roth, D.P. Ellis, A. Gallagher, L. Kaver, R. Marvin, C. Pantofaru, N. Reale, L.G. Reid, K. Wilson, et al., Ava-speech: A densely labeled dataset of speech activity in movies, arXiv preprint arXiv:1808.00606.

3. R. Zazo, T.N. Sainath, G. Simko, C. Parada, Feature learning with raw-waveform cldnns for voice activity detection, in: Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8–12, 2016, 2016, pp. 3668–3672. doi:10.21437/Interspeech.2016-268. url:https://doi.org/10.21437/Interspeech.2016-268.

4. A neural network approach to audio-assisted movie dialogue detection;Kotti;Neurocomputing,2007

5. Multi-scale and single-scale fully convolutional networks for sound event detection;Wang;Neurocomputing,2021

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