Work

Time Scale Modification of Audio Using Non-Negative Matrix Factorization

Year: 2019

Type: conference-paper

Abstract: This paper introduces an algorithm for time-scale modification of audio signals based on using non-negative matrix factorization. The activation signals attributed to the detected components are used for identifying sound events. The segmentation of these events is used for detecting and preserving transients. In addition, the algorithm introduces the possibility of preserving the envelopes of overlapping sound events while globally modifying the duration of an audio clip.

Source: Huddersfield Research Portal (University of Huddersfield)

Authors: Gerard Roma, Owen Green, Pierre Alexandre Tremblay

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3038588816

FWCI: 0.87

Cites: 6

Cited by: 5

Related to: 10