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Speaker detection using acoustic event sequences
Interspeech 2005, 2005Novel approaches using high level features have recently shown up in the speaker recognition field. They basically consist in modeling speakers using linguistic features such as words, phonemes, idiolects. The benefit of these features was demonstrated in NIST campaigns.
Nicolas Scheffer +1 more
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Random forest classification based acoustic event detection
2017 IEEE International Conference on Multimedia and Expo (ICME), 2017This paper deals with the acoustic event detection (AED) to improve the detection accuracy of acoustic events. Acoustic event detection task is performed by a regression via classification (RvC) based approach along with the random forest technique. A discretization process is used to convert the continuous frame positions within acoustic events into ...
Xianjun Xia +3 more
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Acoustic Events Detection in Dissimilarity Measurement Space
Applied Mechanics and Materials, 2013The paper considers the problem of detecting acoustic events in a robust manner. The dissimilarity measurement is used to measure the distance between acoustic samples. Then this distance is used as the replacement of the Euclidean distance to build the detection model with the SVM algorithm.
Lin Bin Jia, Lin Li, Rong Nie
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Detection of Tennis Events from Acoustic Data
Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports, 2019Professional tennis is a fast-paced sport with serves and hits that can reach speeds of over 100 mph and matches lasting long in duration. For example, in 13 years of Grand Slam data, there were 454 matches with an average of 3 sets that lasted 40 minutes.
Aaron Baughman +5 more
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Rare Event detection using Acoustic Cytometry (144.4)
The Journal of Immunology, 2010Abstract Detection of rare events includes populations comprising less than 5% of the total cells, which involves the detection of stem cells, minimal residual disease and fetomaternal hemorrhage. Analysis of rare cell populations requires the collection of high numbers of events in order to attain a reliable measure of accuracy, leading
April Anderson, Jolene Bradford
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Acoustic event detection in meeting-room environments
Pattern Recognition Letters, 2009Acoustic event detection (AED) aims at determining the identity of sounds and their temporal position in the signals that are captured by one or several microphones. The AED problem has been recently proposed for meeting-room or class-room environments, where a specific set of meaningful sounds has been defined, and several evaluations have been ...
Andrey Temko, Climent Nadeu
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Enhanced voice activity detection using acoustic event detection and classification
IEEE Transactions on Consumer Electronics, 2011We examine user-friendly voice interface that requires the hands-free speech acquisition in the continuously listening environment. The traditional voice activity detection (VAD) algorithms cannot successfully identify potential acoustic event sounds from speech. This makes the speech recognition system frequently or incorrectly activated.
null Namgook Cho, null Eun-Kyoung Kim
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EAR-TUKE: The Acoustic Event Detection System
2014This paper introduces acoustic events detection system capable of processing continuous input audio stream in order to detect potentially dangerous acoustic events. The system is representing a light, easy extendable, log-term running and complete solution to acoustic event detection.
Martin Lojka +4 more
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Feature analysis and selection for acoustic event detection
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Speech perceptual features, such as Mel-frequency Cepstral Coefficients (MFCC), have been widely used in acoustic event detection. However, the different spectral structures between speech and acoustic events degrade the performance of the speech feature sets.
null Xiaodan Zhuang +3 more
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Supervised acoustic concept extraction for multimedia event detection
Proceedings of the 2012 ACM international workshop on Audio and multimedia methods for large-scale video analysis, 2012Because of the popularity of online multimedia videos, there has been much interest in recent years in acoustic concept detection and classification for the improvement of online video search. In this paper, we present our acoustic concept annotation effort in user-submitted quality videos.
Stephanie Lynne Pancoast +2 more
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