In this chapter, we review the basic methods for audio signal processing, mainly from the point of view of audio classification. General properties of audio signals are discussed followed by a description of time-frequency representations for audio. Features useful for classification are reviewed. In addition, a discussion on prominent examples of audio classification systems with particular emphasis on feature extraction is provided.
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References
Oppenheim A V, Lim J S (1981) The Importance of Phase in Signals. Proc of the IEEE 69(5):529-550
Moore B C J (2003) An Introduction to the Psychology of Hearing. Academic, San Diego
Patterson R D (2000) Auditory Images: How Complex Sounds Are Represented in the Auditory System. J Acoust Soc Japan (E) 21(4)
Lyon R F, Dyer L (1986) Experiments with a Computational Model of the Cochlea. Proc of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Martinez J M (2002) Standards - MPEG-7 overview of MPEG-7 description tools, part 2. IEEE Multimedia 9(3):83-93
Xiong Z, Radhakrishnan R, Divakaran A, Huang T (2003) Comparing MFCC and MPEG-7 Audio Features for Feature Extraction, Maximum Likelihood HMM and Entropic Prior HMM for Sports Audio Classification. Proc of the International Conference on Multimedia and Expo (ICME)
Wang L, Brown G (2006) Computational Auditory Scene Analysis: Principles, Algorithms and Applications. Wiley-IEEE, New York
McKinney M F, Breebaart J (2003) Features for Audio and Music Classification. Proc of the International Symposium on Music Information Retrieval (ISMIR)
Tzanetakis G, Cook P (2002) Musical Genre Classification of Audio Signals. IEEE Trans Speech Audio Process 10(5):293-302
Burred J J, Lerch A (2004) Hierarchical Automatic Audio Signal Classification. J of Audio Eng Soc 52(7/8):724-739
Logan B (2000) Mel frequency Cepstral Coefficients for Music Modeling. Proc of the International Symposium on Music Information Retrieval (ISMIR)
Zwicker E, Scharf B (1965) A Model of Loudness Summation. Psychol Rev 72:3-26
Klapuri A P (2005) A Perceptually Motivated Multiple-F0 Estimation Method for Polyphonic Music Signals. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPA)
Duda R, Hart P, Stork D (2000) Pattern Classification. Wiley, New York
El-Maleh K, Klein M, Petrucci G, Kabal P (2000) Speech/Music Discrimination for Multimedia Applications. Proc of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)
.Williams G, Ellis D (1999) Speech/Music Discrimination based on Posterior Probability Features. Proc of Eurospeech
Scheirer E, Slaney M (1997) Construction and Evaluation of a Robust Multi-feature Speech/Music Discriminator. Proc of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Chou W, Gu L (2001) Robust Singing Detection in Speech/Music Discriminator Design. Proc of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Zhang T, Kuo C C J (2001) Audio Content Analysis for Online AudioVi-sual Data Segmentation and Classification. IEEE Trans on Speech and Audio Processing 9(4):441-457
Wold E, Blum T, Keisler D, Wheaton J (1996) Content-based Classification, Search and Retrieval of Audio. IEEE Multimedia 3(3):27-36
Peeters G, McAdams S, Herrera P (2000) Instrument Sound Description in the Context of MPEG-7. Proc of the International Computer Music Conference (ICMC)
Dowling W J (1978) Scale and Contour: Two Components of a Theory of Memory for Melodies. Psychol Rev 85:342-389
Pradeep P, Joshi M, Hariharan S, Dutta-Roy S, Rao P (2007) Sung Note Segmentation for a Query-by-Humming System. Proc of the International Workshop on Artificial Intelligence and Music (Music-AI) in IJCAI
Klapuri A P (1999) Sound Onset Detection by Applying Psychoacoustic Knowl-edge. Proc of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)
de Cheveigne A, Kawahara H (1999) Multiple Period Estimation and Pitch Perception Model. Speech Communication 27:175-185
Uitdenbogerd A, Zobel J (1999) Melodic Matching Techniques for Large Music Databases. Proc of the 7th ACM International Conference on Multimedia (Part 1)
Aucouturier J J, Pachet F (2004) Improving Timbre Similarity: How High is the Sky. J Negat Result Speech Audio Sci 1(1)
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Rao, P. (2008). Audio Signal Processing. In: Prasad, B., Prasanna, S.R.M. (eds) Speech, Audio, Image and Biomedical Signal Processing using Neural Networks. Studies in Computational Intelligence, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75398-8_8
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DOI: https://doi.org/10.1007/978-3-540-75398-8_8
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