Transcription and expressiveness detection system for violin music

Authors:
Isabel Barbancho;Cristina de la Bandera;Ana M. Barbancho;Lorenzo J. Tardon
Affiliations:
E.T.S.I. Telecomunicación, Dpt. Ingeniería de Comunicaciones, Universidad de Málaga, Campus de Teatinos s/n, 29071, Spain;E.T.S.I. Telecomunicación, Dpt. Ingeniería de Comunicaciones, Universidad de Málaga, Campus de Teatinos s/n, 29071, Spain;E.T.S.I. Telecomunicación, Dpt. Ingeniería de Comunicaciones, Universidad de Málaga, Campus de Teatinos s/n, 29071, Spain;E.T.S.I. Telecomunicación, Dpt. Ingeniería de Comunicaciones, Universidad de Málaga, Campus de Teatinos s/n, 29071, Spain
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
Cited 4

What signal processing can do for the music

CMMR'10 Proceedings of the 7th international conference on Exploring music contents
Unsupervised classification of audio signals by self-organizing maps and bayesian labeling

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Learning and extraction of violin instrumental controls from audio signal

Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Automatic music transcription: challenges and future directions

Journal of Intelligent Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a transcription system for music played by violin is presented. The transcription system not only detects the pitch and duration of the notes but also identifies successfully the employed technique to play each note: détaché with and without accent and with and without vibrato, pizzicato, tremolo, spiccato and flageolett-töne. The transcription system is based on a combined analysis of the time domain and frequency domain properties of the music signal.