NDLI: A Speech/Music Discriminator of Radio Recordings Based on Dynamic Programming and Bayesian Networks

Content Provider	IEEE Xplore Digital Library
Author	Pikrakis, A. Giannakopoulos, T.
Copyright Year	1999
Abstract	This paper presents a multistage system for speech/music discrimination which is based on a three-step procedure. The first step is a computationally efficient scheme consisting of a region growing technique and operates on a 1-D feature sequence, which is extracted from the raw audio stream. This scheme is used as a preprocessing stage and yields segments with high music and speech precision at the expense of leaving certain parts of the audio recording unclassified. The unclassified parts of the audio stream are then fed as input to a more computationally demanding scheme. The latter treats speech/music discrimination of radio recordings as a probabilistic segmentation task, where the solution is obtained by means of dynamic programming. The proposed scheme seeks the sequence of segments and respective class labels (i.e., speech/music) that maximize the product of posterior class probabilities, given the data that form the segments. To this end, a Bayesian Network combiner is embedded as a posterior probability estimator. At a final stage, an algorithm that performs boundary correction is applied to remove possible errors at the boundaries of the segments (speech or music) that have been previously generated. The proposed system has been tested on radio recordings from various sources. The overall system accuracy is approximately 96%. Performance results are also reported on a musical genre basis and a comparison with existing methods is given.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	846
Ending Page	857
Page Count	12
File Size	1053288
File Format	PDF
ISSN	15209210
Volume Number	10
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Disk recording Dynamic programming Bayesian methods Multiple signal classification Hidden Markov models Streaming media Audio recording Frequency Error correction speech-music discrimination Bayesian networks dynamic programming
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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