IEEE - Institute of Electrical and Electronics Engineers, Inc. - Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

ICASSP 2013 - IEEE International Conference on Acoustics, Speech and Signal Processing

Author(s): Florian Eyben ; Felix Weninger ; Stefano Squartini ; Bjorn Schuller
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2013
Conference Location: Vancouver, BC, Canada
Conference Date: 26 May 2013
Page(s): 483 - 487
ISBN (Electronic): 978-1-4799-0356-6
ISSN (Paper): 1520-6149
DOI: 10.1109/ICASSP.2013.6637694
Regular:

A novel, data-driven approach to voice activity detection is presented. The approach is based on Long Short-Term Memory Recurrent Neural Networks trained on standard RASTA-PLP frontend features.... View More

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