Enhancement of speech dynamics for voice activity detection using DNN

Enhancement of speech dynamics for voice activity detection using DNN

Abstract Voice activity detection (VAD) is an important preprocessing step for various speech applications to identify speech and non-speech periods in input signals. In this paper, we propose a deep neural network (DNN)-based VAD method for detecting such periods in noisy signals using speech dynam...

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Bibliographic Details
Main Authors: Suci Dwijayanti, Kei Yamamori, Masato Miyoshi
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Voice activity detection
Dynamics
Speech period candidates
Deep neural network
Online Access:http://link.springer.com/article/10.1186/s13636-018-0135-7

Internet

http://link.springer.com/article/10.1186/s13636-018-0135-7

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