Acoustic event recognition using dominant spectral basis vectors

Woohyun Choi; Sangwook Park; David K. Han; Hanseok Ko

Acoustic event recognition using dominant spectral basis vectors

Woohyun Choi, Sangwook Park, David K. Han, Hanseok Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

This paper proposes a novel filter bank composed of dominant Spectral Basis Vectors (SBVs) in a spectrogram. Spectral envelopes represented by the SBVs have shown to be excellent characteristic features for discriminating different acoustic events in noisy environment. Non-negative Matrix Factorization (NMF) and non-negative K-SVD (NKSVD) for part-based and holistic representations extract dominant SBVs from a spectrogram. The effectiveness of the proposed method is demonstrated on a database of real life recordings via experiments, and its robust performance is compared to conventional methods.

Original language	English
Title of host publication	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publisher	International Speech and Communication Association
Pages	2002-2006
Number of pages	5
Volume	2015-January
Publication status	Published - 2015
Event	16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany Duration: 2015 Sept 6 → 2015 Sept 10

Other

Other	16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015
Country/Territory	Germany
City	Dresden
Period	15/9/6 → 15/9/10

Keywords

Acoustic event recognition
Dictionary learning
Dominant spectral basis vector
K-SVD
Non-negative matrix factorization
Robust feature extraction
Spectral envelope

ASJC Scopus subject areas

Language and Linguistics
Human-Computer Interaction
Signal Processing
Software
Modelling and Simulation

Cite this

Acoustic event recognition using dominant spectral basis vectors. / Choi, Woohyun; Park, Sangwook; Han, David K. et al.
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vol. 2015-January International Speech and Communication Association, 2015. p. 2002-2006.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, W, Park, S, Han, DK & Ko, H 2015, Acoustic event recognition using dominant spectral basis vectors. in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. vol. 2015-January, International Speech and Communication Association, pp. 2002-2006, 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015, Dresden, Germany, 15/9/6.

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volume = "2015-January",

pages = "2002--2006",

booktitle = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

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AU - Choi, Woohyun

AU - Park, Sangwook

AU - Han, David K.

AU - Ko, Hanseok

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AB - This paper proposes a novel filter bank composed of dominant Spectral Basis Vectors (SBVs) in a spectrogram. Spectral envelopes represented by the SBVs have shown to be excellent characteristic features for discriminating different acoustic events in noisy environment. Non-negative Matrix Factorization (NMF) and non-negative K-SVD (NKSVD) for part-based and holistic representations extract dominant SBVs from a spectrogram. The effectiveness of the proposed method is demonstrated on a database of real life recordings via experiments, and its robust performance is compared to conventional methods.

KW - Acoustic event recognition

KW - Dictionary learning

KW - Dominant spectral basis vector

KW - K-SVD

KW - Non-negative matrix factorization

KW - Robust feature extraction

KW - Spectral envelope

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AN - SCOPUS:84946584270

VL - 2015-January

SP - 2002

EP - 2006

BT - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

PB - International Speech and Communication Association

T2 - 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015

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ER -

Acoustic event recognition using dominant spectral basis vectors

Abstract

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Keywords

ASJC Scopus subject areas

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