A multi-channel postfilter based on the diffuse noise sound field

Author

Pfeifenberger, Lukas ; Pernkopf, Franz

Author_Institution

Signal Process. & Speech Commun. Lab., Graz Univ. of Technol., Graz, Austria

fYear

2014

fDate

1-5 Sept. 2014

Firstpage

686

Lastpage

690

Abstract

In this paper, we present a multi-channel Directional-to-Diffuse Postfilter (DD-PF), relying on the assumption of a directional speech signal embedded in diffuse noise. Our postfilter uses the output of a superdirective beamformer like the Generalized Sidelobe Canceller (GSC), which is projected back to the microphone inputs to separate the sound field into its directional and diffuse components. From these components the SNR at the output of the beamformer can be derived without needing a Voice Activity Detector (VAD). The SNR is used to construct a noise cancelling Wiener filter. In our experiments, the developed algorithm outperforms two recent postfilters based on the Transient Beam to Reference Ratio (TBRR) and the Multi-Channel Speech Presence Probability (MCSSP).

Keywords

Wiener filters; array signal processing; microphones; speech processing; DD-PF; GSC; MCSSP; TBRR; diffuse noise sound field; directional speech signal; generalized sidelobe canceller; microphone inputs; multichannel directional-to-diffuse postfilter; multichannel postfilter; multichannel speech presence probability; noise cancelling Wiener filter; superdirective beamformer; transient beam to reference ratio; Arrays; Microphones; Signal to noise ratio; Speech; Speech enhancement; beamforming; diffuse sound field; multi-channel postfilter;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European

Conference_Location

Lisbon

Type

conf

Filename

6952216