Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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%.

Anglický abstrakt

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%.

BibTex


@inproceedings{BUT107314,
  author="Radim {Burget} and Malay Kishore {Dutta} and Hicham {Atassi}",
  title="Detection of chorus from an audio clip using dynamic time warping algorithm",
  annote="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%.",
  booktitle="Engineering and Computational Sciences (RAECS), 2014 Recent Advances in",
  chapter="107314",
  doi="10.1109/RAECS.2014.6799547",
  howpublished="online",
  year="2014",
  month="april",
  pages="1--6",
  type="conference paper"
}