Presentation 2015-12-03
Noise-Robust Scream Detection using Spectral Entropy and Multi-Condition Training
Noboru Hayasaka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, as crimes have become more diverse and increasingly sophisticated, our awareness of security systems has increased. The most typical kind of security system is a security camera, but there are various issues in that there are situations in which they cannot be used, such as from consideration of privacy or in darkness. For that reason, security systems that utilize sound information have been proposed. This report relates to scream identification and scream detection systems that focuses on screams within various sounds, and proposes techniques increasing its noise robustness. More specifically, we use spectral entropy, which expresses the difference in frequency distribution between a scream and noise, as a feature, and also construct a scream Gaussian mixture model (GMM) from screams with superimposed noise. In scream identification and scream detection experiments under noisy environments, the proposed method could be improved the equal error rate under all noisy environment, in comparison with the conventional method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) scream detection / spectral entropy / multi-condition training
Paper # SIS2015-29
Date of Issue 2015-11-26 (SIS)

Conference Information
Committee SIS
Conference Date 2015/12/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Matsuya-sensen (Awara city, Fukui)
Topics (in Japanese) (See Japanese page)
Topics (in English) SoC, Related to RFID, etc.
Chair Mitsuji Muneyasu(Kansai Univ.)
Vice Chair Hirokazu Tanaka(Hiroshima City Univ.) / Takayuki Nakachi(NTT)
Secretary Hirokazu Tanaka(Nagoya City Univ.) / Takayuki Nakachi(Toshiba)
Assistant Hiroyuki Tsuji(Kanagawa Inst. of Tech.) / Hakaru Tamukoh(Kyushu Inst. of Tech.)

Paper Information
Registration To Technical Committee on Smart Info-Media System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise-Robust Scream Detection using Spectral Entropy and Multi-Condition Training
Sub Title (in English)
Keyword(1) scream detection
Keyword(2) spectral entropy
Keyword(3) multi-condition training
1st Author's Name Noboru Hayasaka
1st Author's Affiliation Osaka Electro-Communication University(OECU)
Date 2015-12-03
Paper # SIS2015-29
Volume (vol) vol.115
Number (no) SIS-348
Page pp.pp.1-6(SIS),
#Pages 6
Date of Issue 2015-11-26 (SIS)