Timbre Discrimination for Brief Instrument Sounds

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Abstrakt

Timbre discrimination, even for very brief sounds, allows identification and separation of different sound sources. The existing literature on the effect of duration on timbre recognition shows high performance for remarkably short time window lengths, but does not address the possible ef- fect of musical training. In this study, we applied an adap- tive procedure to investigate the effect of musical training on individual thresholds for instrument identification. A timbre discrimination task consisting of a 4-alternative for- ced choice (4AFC) of brief instrument sounds with varying duration was assigned to 16 test subjects using an adaptive staircase method. The effect of musical training has been investigated by dividing the participants into two groups: musicians and non-musicians. The experiment showed lo- west thresholds for the guitar sound and highest for the violin sound, with a high overall performance level, but no significant difference between the two groups. It is sug- gested that the test subjects adjust the weightings of the perceptual dimensions of timbre according to different de- grees of acoustic degradation of the stimuli, which are eva- luated both by plotting extracted audio features in a fea- ture space and by considering the timbral specificities of the four instruments.
OriginalsprogEngelsk
TitelProceedings of the 19th International Society for Music Information Retrieval Conference
Forlagdblp Computer Science Bibliography
Publikationsdato2018
Sider128-134
ISBN (Trykt)978-2-9540351-2-3
StatusUdgivet - 2018
Begivenhed19th International Society for Music Information Retrieval Conference, ISMIR 2018 - Paris, Frankrig
Varighed: 23 sep. 201827 sep. 2018

Konference

Konference19th International Society for Music Information Retrieval Conference, ISMIR 2018
LandFrankrig
ByParis
Periode23/09/201827/09/2018

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  • Citationsformater

    Bigoni, F., & Dahl, S. (2018). Timbre Discrimination for Brief Instrument Sounds. I Proceedings of the 19th International Society for Music Information Retrieval Conference (s. 128-134). dblp Computer Science Bibliography. http://ismir2018.ircam.fr/doc/pdfs/249_Paper.pdf