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DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM

Abstract: 

Automatic speech recognition is now playing an important role in volume control and adjustment of modern smart speakers. According to the recognition results by using the advanced deep neural network technology, this paper proposes an efficient processing system for automatic volume control (AVC) and limiter. The theoretical analyses, subjective and objective testing results show that the proposed processing system can offer a significant improvement for speech recognition performance during audio playback and improvement for audio playback performance in smart speakers. Driven by input data and audio contents, the proposed AVC is able to adaptively learn and track an effective signal level at the speed corresponding to the width of transient sound; the adaptation is frozen in the case of silence and noise periods. The proposed limiter measures the peaks and can guarantee that no peak will go over the predetermined peak threshold so as to avoid clipping and harmonic distortions.

Full-length paper: https://ieeexplore.ieee.org/document/7952542

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Paper Details

Authors:
Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger
Submitted On:
7 May 2019 - 5:27pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Jun Yang
Paper Code:
IDSP-P1.3
Document Year:
2017
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Document Files

ICASSP2017_poster_paper1196.pdf

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[1] Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger, "DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1475. Accessed: Jul. 10, 2020.
@article{1475-17,
url = {http://sigport.org/1475},
author = {Jun Yang; Philip Hilmes; Brian Adair; David W. Krueger },
publisher = {IEEE SigPort},
title = {DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM},
year = {2017} }
TY - EJOUR
T1 - DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM
AU - Jun Yang; Philip Hilmes; Brian Adair; David W. Krueger
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1475
ER -
Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger. (2017). DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM. IEEE SigPort. http://sigport.org/1475
Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger, 2017. DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM. Available at: http://sigport.org/1475.
Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger. (2017). "DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM." Web.
1. Jun Yang, Philip Hilmes, Brian Adair, David W. Krueger. DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1475