By Chitralekha Gupta, Preeti Rao (auth.), Sølvi Ystad, Mitsuko Aramaki, Richard Kronland-Martinet, Kristoffer Jensen, Sanghamitra Mohanty (eds.)
This ebook constitutes the completely refereed post-proceedings of the eighth foreign Symposium on computing device tune Modeling and Retrieval, CMMR 2011 and the twentieth foreign Symposium on Frontiers of analysis in Speech and track, FRSM 2011. This yr the two meetings merged for the 1st time and have been held in Bhubanes, India, in March 2011. The 17 revised complete papers awarded have been specifically reviewed and revised for inclusion during this lawsuits quantity. The booklet is split in 4 major chapters which mirror the prime quality of the classes of CMMR 2011, the collaboration with FRSM 2011 and the Indian impact, within the issues of Indian song, track details Retrieval, Sound research synthesis and belief and Speech processing of Indian languages.
Read Online or Download Speech, Sound and Music Processing: Embracing Research in India: 8th International Symposium, CMMR 2011, 20th International Symposium, FRSM 2011, Bhubaneswar, India, March 9-12, 2011, Revised Selected Papers PDF
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Additional info for Speech, Sound and Music Processing: Embracing Research in India: 8th International Symposium, CMMR 2011, 20th International Symposium, FRSM 2011, Bhubaneswar, India, March 9-12, 2011, Revised Selected Papers
Music Therapy 2(1), 43–52 (1982) 9. : Rehabilitation of cancer patients including creative therapies. Rehabilitation Stuttg. 22(1), 25–27 (1983) 10. : [Combination of music therapy methods in dynamic group psychotherapy] Zur Kombination musiktherapeutischer Methoden in der dynamischen Gruppenpsychotherapie. Psychiatr. Neurol Med. Psychol. Leipz 35(3), 148–153 (1983) 11. : [Receptive individual music therapy in the concept of ambulatory psycho therapy] Rezeptive Einzelmusiktherapie in der ambulanten Psychotherapie-Konzeption.
2 gives the prediction algorithm. Section 4 gives the preliminary data analysis and empirical results. In this section, Subsection A describes the data preprocessing tasks while Subsection B describes the neural architecture. Section 5 gives the main results followed by a discussion. Finally, Section 6 draws the conclusion with suggestions for future work. 2 Neural Network and Music The disadvantage of the traditional Von Neumann algorithm-based concept is that the processing rules must be clearly specified.
Ystad et al. ): CMMR/FRSM 2011, LNCS 7172, pp. 34–43, 2012. © Springer-Verlag Berlin Heidelberg 2012 Meter Detection from Audio for Indian Music 35 approach proposed by Gouyon and Herrera  the beat indices are manually extracted and then an autocorrelation function, computed on chosen low level features (energy flux, spectral flatness, energy in upper half of the first bark band) is used to detect meter type. Also, in this approach the meter detection problem was simplified by restricting the result to double (2/4, 4/4) and triple (3/4, 6/8) meter.