Detection of chorus from an audio clip using dynamic time warping algorithm

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of chorus from an audio clip using dynamic time warping algorithm

Popis výsledku v původním jazyce

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%.

Název v anglickém jazyce

Detection of chorus from an audio clip using dynamic time warping algorithm

Popis výsledku anglicky

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%.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Engineering and Computational Sciences (RAECS), 2014 Recent Advances in

ISBN

978-1-4799-2290-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Chandigarh

Datum konání akce

6. 3. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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