Detection of chorus from an audio clip using dynamic time warping algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108905" target="_blank" >RIV/00216305:26220/14:PU108905 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/RAECS.2014.6799547" target="_blank" >http://dx.doi.org/10.1109/RAECS.2014.6799547</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RAECS.2014.6799547" target="_blank" >10.1109/RAECS.2014.6799547</a>
Alternative languages
Result language
angličtina
Original language name
Detection of chorus from an audio clip using dynamic time warping algorithm
Original language description
This paper describes a method to detect repeating segments in an audio signal by using dynamic time warping algorithm. The proposed framework extracts features from frames of the audio by Mel frequency cepstral coefficients. The features extracted from the audio clip of the chorus were matched against the features of the whole clip by dynamic time warping. The number of matches found was determined by self similarity matrix. The experimental results indicate that the minimum distance matches between query and reference clip is successfully achieved. The proposed scheme was tested in a database of audio signals and the experimental results are encouraging. The proposed scheme was implemented and tested using a database of audio signals with accuracy up to 98%.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering and Computational Sciences (RAECS), 2014 Recent Advances in
ISBN
978-1-4799-2290-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Chandigarh
Event date
Mar 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—