Invention Grant
- Patent Title: Source separation using nonnegative matrix factorization with an automatically determined number of bases
- Patent Title (中): 源分离使用非负矩阵分解与自动确定的碱基数
-
Application No.: US14624220Application Date: 2015-02-17
-
Publication No.: US09553681B2Publication Date: 2017-01-24
- Inventor: Matthew Douglas Hoffman
- Applicant: Adobe Systems Incorporated
- Applicant Address: US CA San Jose
- Assignee: Adobe Systems Incorporated
- Current Assignee: Adobe Systems Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: H04B15/00
- IPC: H04B15/00 ; G10L21/02 ; G10L21/0224 ; G10L21/0232 ; G10L21/0208

Abstract:
Methods and systems for source separation based on determining a number of bases for a nonnegative matrix factorization (NMF) model are disclosed. A method includes receiving, at a computing device, a mixed signal including a combination of first signal data and second signal data. The method also includes generating, by the computing device, a time-frequency representation of the mixed signal. The method further includes determining, by applying a structured stochastic variational inference (SSVI) algorithm to the NMF model, a number of bases for a dictionary of signal-related components of the mixed signal. The method uses the number of bases and the time-frequency representation to construct the dictionary and an activation matrix of weights, the weights indicating how active each one of the signal-related components is at a given time. The method then uses the dictionary and the activation matrix to separate the first signal data from the second signal data.
Public/Granted literature
Information query