Feature analysis for audio classification
In this work we analyze and implement several audio features. We emphasize our analysis on the ZCR feature and propose a modification making it more robust when signals are near zero. They are all used to discriminate the following audio classes: music, speech, environmental sound. An SVM classifier...
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| Otros Autores: | , , , , |
| Formato: | Acta de conferencia Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer Verlag
2014
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| Acceso en línea: | Registro en Scopus Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 05697caa a22006497a 4500 | ||
|---|---|---|---|
| 001 | PAPER-23937 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205542.0 | ||
| 008 | 190411s2014 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-84949143550 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Bengolea, G. | |
| 245 | 1 | 0 | |a Feature analysis for audio classification |
| 260 | |b Springer Verlag |c 2014 | ||
| 270 | 1 | 0 | |m Bengolea, G.; Departamento de Computación, Universidad de Buenos AiresArgentina |
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a Chai, W., Semantic segmentation and summarization of music: Methods based on tonality and recurrent structure (2006) IEEE Signal Proc. Mag, 23 (2), pp. 124-132 | ||
| 504 | |a Chen, S.L., Gunduz Ozsu, M.T., Mixed type audio classification with support vector machine (2006) IEEE International Conference on Multimedia and Expo, pp. 781-784. , (July | ||
| 504 | |a Furui, S., Kikuchi, T., Shinnaka, Y., Hori, C., Speech-to-text and speech-to-speech summarization of spontaneous speech (2004) IEEE Transactions on Speech and Audio Processing, 12 (4), pp. 401-408 | ||
| 504 | |a Johnson, S.E., Woodland, P.C., A method for direct audio search with applications to indexing and retrieval (2000) IEEE International Conference on Acoustics Speech, and Signal Processing, ICASSP 2000, 3, pp. 1427-1430 | ||
| 504 | |a Lu, Z.S.H.-J.Z., Li, L., Content-based audio segmentation using support vector machines (2001) IEEE International Conference on Multimedia and Expo ICME 2001, pp. 749-752. , (August | ||
| 504 | |a Lu, L., Zhang, H.-J., Jiang, H., Content analysis for audio classification and segmentation (2002) IEEE Trans. on Speech and Audio Processing, 10 (7), pp. 504-516 | ||
| 504 | |a Panagiotakis, C., Tziritas, G., A speech/music discriminator based on rms and zero-crossings (2005) IEEE Transactions on Multimedia, 7 (1), pp. 155-166 | ||
| 504 | |a Park, A., Hazen, T.J., Glass, J.R., Automatic processing of audio lectures for information retrieval: Vocabulary selection and language modeling (2005) IEEE Int'l Conf. on Acoustics Speech, and Signal Proc | ||
| 504 | |a Sadjadi, S., Hansen, J., Unsupervised speech activity detection using voicing measures and perceptual spectral flux (2013) IEEE Signal Proc. Letters, 20 (3), pp. 197-200 | ||
| 504 | |a Saunders, J., Real-time discrimination of broadcast speech/music (1996) IEEE Int'l Conf. on Acoustics Speech, and Signal Proc, 2, pp. 993-996 | ||
| 504 | |a Vapnik, V.N., (1995) The Nature of Statistical Learning Theory, , Springer-Verlag New York, Inc, New York | ||
| 504 | |a Zhang, C.-C.J., Kuo, T., Audio content analysis for online audiovisual data segmentation and classification (2001) IEEE Transactions on Speech and Audio Processing, 9 (4), pp. 441-457A4 - Chilean Association for Pattern Recognition (AChiRP); CINVESTAV, Campus Guadalajara; Cuban Association for Pattern Recognition (ACRP); INTEL Education; International Association for Pattern Recognition (IAPR); Mexican Association for Computer Vision; Neurocomputing and Robotics (MACVNR); Portuguese Association for Pattern Recognition (APRP); Spanish Association for Pattern Recogntion and Image Analysis (AERFAI); Special Interest Group of the Brazilian Computer Society (SIGPR-SBC) | ||
| 520 | 3 | |a In this work we analyze and implement several audio features. We emphasize our analysis on the ZCR feature and propose a modification making it more robust when signals are near zero. They are all used to discriminate the following audio classes: music, speech, environmental sound. An SVM classifier is used as a classification tool, which has proven to be efficient for audio classification. By means of a selection heuristic we draw conclusions of how they may be combined for fast classification. © Springer International Publishing Switzerland 2014. |l eng | |
| 593 | |a Departamento de Computación, Universidad de Buenos Aires, Argentina | ||
| 593 | |a Dpt. Matemàtiques i Informàtica / CMLA, Universitat de les Illes Balears / ENS Cachan, Spain | ||
| 593 | |a Dpt. Matemàtiques i Informàtica / CMLA, Universitat de les Illes Balears / ENS Cachan, France | ||
| 690 | 1 | 0 | |a COMPUTER VISION |
| 690 | 1 | 0 | |a PATTERN RECOGNITION |
| 690 | 1 | 0 | |a AUDIO CLASS |
| 690 | 1 | 0 | |a AUDIO CLASSIFICATION |
| 690 | 1 | 0 | |a AUDIO FEATURES |
| 690 | 1 | 0 | |a CLASSIFICATION TOOL |
| 690 | 1 | 0 | |a ENVIRONMENTAL SOUNDS |
| 690 | 1 | 0 | |a FAST CLASSIFICATION |
| 690 | 1 | 0 | |a FEATURE ANALYSIS |
| 690 | 1 | 0 | |a SVM CLASSIFIERS |
| 690 | 1 | 0 | |a AUDIO ACOUSTICS |
| 700 | 1 | |a Acevedo, D. | |
| 700 | 1 | |a Rais, M. | |
| 700 | 1 | |a Mejail, M. | |
| 700 | 1 | |a Hancock E. | |
| 700 | 1 | |a Bayro-Corrochano E. | |
| 711 | 2 | |d 2 November 2014 through 5 November 2014 |g Código de la conferencia: 109889 | |
| 773 | 0 | |d Springer Verlag, 2014 |g v. 8827 |h pp. 239-246 |p Lect. Notes Comput. Sci. |n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |x 03029743 |w (AR-BaUEN)CENRE-983 |z 9783319125671 |t 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014 | |
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| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_03029743_v8827_n_p239_Bengolea |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v8827_n_p239_Bengolea |y Registro en la Biblioteca Digital |
| 961 | |a paper_03029743_v8827_n_p239_Bengolea |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 963 | |a VARI | ||
| 999 | |c 84890 | ||