Title :
Mapping speech signals to musical scores through prosodic extraction
Author :
Trayanova, Boyanna ; Joachim, Dale
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tulane Univ., New Orleans, LA, USA
Abstract :
Detached from its semantic content, a speech signal can be interpreted as a musical structure, containing rhythm, intonation, timbre and pitch. The musical components of speech can be extracted through algorithmic prosodic analysis to be mapped into musical notation. In this paper, we present a system that extracts pitch and rhythm from an utterance for mapping into a musical score.
Keywords :
audio signal processing; feature extraction; music; speech processing; algorithmic prosodic analysis; energy contour extraction; intonation; musical notation; musical score speech signal mapping; note duration value extraction; pitch; prosodic feature extraction; rhythm; speech musical component extraction; speech signal musical structure; timbre; Autocorrelation; Frequency; Music; Performance analysis; Rhythm; Signal analysis; Signal mapping; Speech analysis; Speech synthesis; Timbre;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415693
