The effects of lossy audio encoding on genre classification tasks

Audio Engineering Society - 124th Audio Engineering Society Convention 2008

Volumn 2, Issue , 2008, Pages 975-977

  Jacobson, Kurt ^a   Fields, Ben ^b   Sandler, Mark ^a   Casey, Michael ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO CONTENT; AUDIO ENCODING; AUDIO SPECTRUM; AUTOMATIC GENRE CLASSIFICATION; BIT RATES; ENCODING PARAMETERS; ENCODINGS; GENRE CLASSIFICATION; HETEROGENEOUS COLLECTIONS; MEAN CLASSIFICATION; PERCEPTUAL ENCODING; SAMPLE RATE;

SOCIETIES AND INSTITUTIONS;

ENCODING (SYMBOLS);

EID: 84866500769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. E. Pampalk, A. Flexer, and G. Widmer, "Improvements of audio-based music similarity and genre classification," Proceeding of ISMIR, 2005.
2. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals," IEEE Transactions on Speech and Audio Processing, 2002.
3. J.-J. Aucouturier and F. Pachet, "Improving timbre similarity: How high's the sky?" JNR-SAS, 2004.
4. A. Berenzweig, B. Logan, D. Ellis, and B. Whitman, "A large-scale evaluation of acoustic and subjective music-similarity measures," Computer Music Journal, 2004.
5. M. Casey, "Mpeg-7 sound-recognition tools," IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, no. 6, pp. 737-747, 2001.
6. ISO 15938-4:2001 MPEG-7: Multimedia Content Description Interface, 2001.
7. H.-G. Kim and T. Sikora, "Comparison of mpeg-7 audio spectrum projection features and mfcc applied to speaker recognition," ICASSP, 2004.