BLIND MULTI-CHANNEL SPEECH SEPARATION USING SPATIAL ESTIMATION IN TWO-SPEAKER ENVIRONMENTS

Dam Quang Hai
Author affiliations

Authors

  • Dam Quang Hai Nhà xuất bản Khoa học Tự nhiên và Công nghệ

DOI:

https://doi.org/10.15625/0866-708X/48/4/1176

Abstract

ABSTRACT

This paper investigates the problem of speech separation from a mixture of two speech signals without source localization information in a room environment. Due to the lack of source information, the use of spatial detector comes at an expense of permutation ambiguity. To solve the problem, a permutation alignment algorithm based on correlation is employed to group the beamformer outputs into the correct sources. Evaluations using recordings from a real room environment show that the proposed beamformer offers a good interference suppression level whilst maintaining a low distortion level of the desired source.

Downloads

Download data is not yet available.

Published

26-06-2012

How to Cite

[1]
D. Q. Hai, “BLIND MULTI-CHANNEL SPEECH SEPARATION USING SPATIAL ESTIMATION IN TWO-SPEAKER ENVIRONMENTS”, Vietnam J. Sci. Technol., vol. 48, no. 4, Jun. 2012.

Issue

Section

Articles