Space-time voice activity detection

Hyeopwoo Lee; Dongsuk Yook

doi:10.1109/TCE.2009.5278015

Space-time voice activity detection

Hyeopwoo Lee, Dongsuk Yook

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

When speech-based interfaces are used for small handheld devices such as cellular phones and personal digital assistants in mobile environments with unknown noises and surrounding talkers, all signals except the legitimate user's voice must be rejected as noise signals by the system. This paper proposes a new algorithm that detects the user's voice in spatial and temporal domains using directional and spectral information. It rejects undesirable signals that originate from noise sources or surrounding talkers. Experimental results indicate the proposed algorithm reduces the voice activity detection error rate by 34.3% relative to the conventional methods.

Original language	English
Pages (from-to)	1471-1476
Number of pages	6
Journal	IEEE Transactions on Consumer Electronics
Volume	55
Issue number	3
DOIs	https://doi.org/10.1109/TCE.2009.5278015
Publication status	Published - 2009

Keywords

Microphone array
Sound source localization
Voice activity detection

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/TCE.2009.5278015

Cite this

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title = "Space-time voice activity detection",

abstract = "When speech-based interfaces are used for small handheld devices such as cellular phones and personal digital assistants in mobile environments with unknown noises and surrounding talkers, all signals except the legitimate user's voice must be rejected as noise signals by the system. This paper proposes a new algorithm that detects the user's voice in spatial and temporal domains using directional and spectral information. It rejects undesirable signals that originate from noise sources or surrounding talkers. Experimental results indicate the proposed algorithm reduces the voice activity detection error rate by 34.3% relative to the conventional methods.",

keywords = "Microphone array, Sound source localization, Voice activity detection",

author = "Hyeopwoo Lee and Dongsuk Yook",

note = "Funding Information: 1This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2006-311-D00822). It was also supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute for Information Technology Advancement) (IITA-2008-C1090-0803-0006). Hyeopwoo Lee and Dongsuk Yook (corresponding author) are with Speech Information Processing Laboratory, Department of Computer and Communication Engineering, Korea University, Seoul, 136-701, Republic of Korea (e-mail: hwlee@voice.korea.ac.kr and yook@voice.korea.ac.kr). Contributed Paper Manuscript received June 5, 2009 0098 3063/09/$20.00 {\textcopyright} 2009 IEEE",

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doi = "10.1109/TCE.2009.5278015",

language = "English",

volume = "55",

pages = "1471--1476",

journal = "IEEE Transactions on Consumer Electronics",

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AU - Lee, Hyeopwoo

AU - Yook, Dongsuk

N1 - Funding Information: 1This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2006-311-D00822). It was also supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute for Information Technology Advancement) (IITA-2008-C1090-0803-0006). Hyeopwoo Lee and Dongsuk Yook (corresponding author) are with Speech Information Processing Laboratory, Department of Computer and Communication Engineering, Korea University, Seoul, 136-701, Republic of Korea (e-mail: hwlee@voice.korea.ac.kr and yook@voice.korea.ac.kr). Contributed Paper Manuscript received June 5, 2009 0098 3063/09/$20.00 © 2009 IEEE

PY - 2009

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N2 - When speech-based interfaces are used for small handheld devices such as cellular phones and personal digital assistants in mobile environments with unknown noises and surrounding talkers, all signals except the legitimate user's voice must be rejected as noise signals by the system. This paper proposes a new algorithm that detects the user's voice in spatial and temporal domains using directional and spectral information. It rejects undesirable signals that originate from noise sources or surrounding talkers. Experimental results indicate the proposed algorithm reduces the voice activity detection error rate by 34.3% relative to the conventional methods.

AB - When speech-based interfaces are used for small handheld devices such as cellular phones and personal digital assistants in mobile environments with unknown noises and surrounding talkers, all signals except the legitimate user's voice must be rejected as noise signals by the system. This paper proposes a new algorithm that detects the user's voice in spatial and temporal domains using directional and spectral information. It rejects undesirable signals that originate from noise sources or surrounding talkers. Experimental results indicate the proposed algorithm reduces the voice activity detection error rate by 34.3% relative to the conventional methods.

KW - Microphone array

KW - Sound source localization

KW - Voice activity detection

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JF - IEEE Transactions on Consumer Electronics

IS - 3

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Space-time voice activity detection

Abstract

Keywords

ASJC Scopus subject areas

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