![]() (2003): Measuring and modeling real-time re-sponses to music: The dynamics of tonality induction, Perception, 32-6, 741-766. Technical Report 1998-010, Interval Re-search Corporation. (1977): Cue utilization in emotion attribution from auditory stimuli. (1993): Fundamentals of Speech Recognition. Springer Advances In Pattern Recognition Series, Springer-Verlag, New-York. (2002): NETLAB: Algorithms for Pattern Recognition. (1982): Tracing the dynamic changes in perceived tonal organization in a spatial representation of musical keys. (1990): Cognitive Foundations of Musical Pitch. (2003): Communication of emotions in vocal expression and music performance: Different channels, same code? Psychological Bulletin (129), 770-814. (1997): Emotional communication in music performance: A functionalist per-spective and some data. (2006): Tonal description of polyphonic audio for music content processing. In Proceedings of SPIE Storage and Retrieval for Multimedia Databases, 5021, 167-75. (2003): Media segmentation using self-similarity decomposi-tion. Proceedings of 5th International Conference on Music Information Retrieval, 22-27, Barcelona.įOOTE, J. This process is experimental and the keywords may be updated as the learning algorithm improves.ĮEROLA, T. These keywords were added by machine and not by the authors. Preliminary results show that the variance in emotion ratings can be explained by a small set of acoustic features. One of our main motivations for the development of the toolbox is to facilitate investigation of the relation between musical features and music-induced emotion. The toolbox also includes functions for statistical analysis, segmentation and clustering. This paper offers an overview of the set of features that can be extracted with MIRToolbox, illustrated with the description of three particular musical features. These functions can adapt to a large area of objects as input. The design is based on a modular framework: the different algorithms are decomposed into stages, formalized using a minimal set of elementary mechanisms, and integrating different variants proposed by alternative approaches - including new strategies we have developed -, that users can select and parametrize. The objective is to offer a state of the art of computational approaches in the area of Music Information Retrieval (MIR). We present MIRToolbox, an integrated set of functions written in Matlab, dedicated to the extraction from audio files of musical features related, among others, to timbre, tonality, rhythm or form.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |