Work

Detection Of Random Spectral Alterations Of Sustained Musical Instrument Tones In Repeated Note Contexts

Year: 2014

Type: conference-paper

Abstract: Eight sustained musical instrument sounds were randomly altered by a time-invariant process to determine how well spectral alteration could be detected on repeated notes. Sounds were resynthesized in a series of eight 0.25-second repeated notes and spectrally altered with average spectral alterations of 8, 16, 24, 32, and 48%. Listeners were asked to discriminate each randomly altered repeated note sequence from the original unaltered sequence. The results showed that spectrally altered repeated note sequences were significantly more discriminable than single tones in comparisons of the same duration (two seconds). Non-uniform repeated note sequences were more discriminable than uniform sequences that simply repeated the same random instance.

Source: Rare & Special e-Zone (The Hong Kong University of Science and Technology)

DOI: 10.5281/zenodo.850863

Authors: Lee, Chung, Horner, Andrew

Institutions: Singapore University of Technology and Design, Hong Kong University of Science and Technology

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2400007528

FWCI:

Cites: 17

Cited by:

Related to: 10