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

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.

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Published

2012-06-26

Issue

Section

Articles