Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features-Reference-Cited by-同舟云学术

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Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features

Published:2018-09 Issue: Volume:81 Page:1-13
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Xia Xianjun^ORCID,Togneri Roberto,Sohel Ferdous^ORCID,Huang David

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference53 articles.

1. Scream and gunshot detection and localization for audio-surveillance systems;Valenzise,2007

2. Events detection for an audio-based surveillance system;Clavel,2005

3. Automatic acoustic siren detection in traffic noise by part-based models.;Schröder,2013

4. Log-frequency spectrogram for respiratory sound monitoring;Jin,2012

5. Detection and classification of acoustic events for in-home care;Schroeder,2011

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