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eBook Artificial Perception and Music Recognition (Lecture Notes in Computer Science) download

by Andranick S. Tanguiane

eBook Artificial Perception and Music Recognition (Lecture Notes in Computer Science) download ISBN: 0387573941
Author: Andranick S. Tanguiane
Publisher: Springer Verlag (October 1, 1993)
Language: English
ePub: 1584 kb
Fb2: 1882 kb
Rating: 4.2
Other formats: docx doc lrf azw
Category: Technologies
Subcategory: Computer Science

Lecture Notes in Artificial Intelligence. Artificial Perception and Music Recognition. This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music

Lecture Notes in Artificial Intelligence. This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output.

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Artificial Perception and Music Recognition (Lecture Notes in Computer Science). Andranick S. Tanguiane (Tangian). Download (pdf, 1. 0 Mb) Donate Read.

A conceptual space for the perception of notes and chords is discussed along with its generalization for the perception of. . Lecture Notes in Computer Science.

A conceptual space for the perception of notes and chords is discussed along with its generalization for the perception of music phrases. A focus of attention mechanism scanning the conceptual space is also outlined. The focus of attention is driven by suitable linguistic and associative expectations on notes, chords and music phrases. Some problems and future works of the proposed approach are also outlined.

In: International Conference on Computer Vision and Pattern.

from book Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface (p. 9-39). Conference Paper · January 2011 with 3,531 Reads. How we measure 'reads'. In: International Conference on Computer Vision and Pattern. Recognition, pp. 1–8 (2007). 13. Laptev, . Marszalek, . Schmid, . Rozenfeld, . Learning realistic human. 1–8 (2008).

Castillo . Pyattaev . Villa . Masek . Moltchanov . Ometov A. Lecture Notes in Computer Science (including . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Chukhno . Shorgin . Samouylov . Galinina . Gaidamaka Y.

from book Artificial Intelligence and Soft Computing, 10th International . tomatic recognition and classification of these formations would provide us with. perception and intuition rather than strict functional dependency.

from book Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I (p. 07-314). Conference Paper · January 2010 with 1,291 Reads. a strong confirmation of other signals and important clues for optimal decisions. Such a tool will be provided by self organizing maps. cal indicators are delayed in time as based on moving averages.

Artificial Perception. by Andranick S. Tanguiane.

Computer Science Computer Science (miscellaneous)

Computer Science Computer Science (miscellaneous). Mathematics Theoretical Computer Science.

This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music score printing at the output. The approach to pattern recognition employed is that of artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligence methods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.