Work

Unsupervised learning of time–frequency patches as a noise-robust representation of speech

Year: 2009

Type: article

Source: Speech Communication

DOI: 10.1016/j.specom.2009.05.003

Authors: Maarten Van Segbroeck, Hugo Van hamme

Institution: KU Leuven

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: European Commission, Vlaamse regering

OpenAlex ID: W2129674987

FWCI: 3.607

Cites: 36

Cited by: 20

Related to: 10