Online Blind Speech Extraction based on a Locally Quadratic Kurtosis Criteria and a Preprocessing Automatic Gain Controller
Författare
Summary, in English
This paper focuses on realtime speech extraction using blind adaptive beamforming. The speech extraction is carried out using an approximation of the kurtosis measure in a subband domain. The introduced kurtosis approximation is an improvement of a recently proposed approximation technique where a locally quadratic criterion was solved at each iteration. The improvement introduced in this paper regards an approach to normalize this same criterion using a pre-processing automatic gain control unit, and thereby making the algorithm invariant to input signal scales. The proposed method outperforms the recent technique in terms of signal to interference ratio improvement. In addition, the increased memory consumption and processing load due to the proposed improvement is comparably low and this is often desirable in a realtime digital signal processor (DSP) implementation. Further, a real-time implementation of the method is conducted and results with real data is presented.
Publiceringsår
2007-09
Språk
Engelska
Sidor
139-142
Publikation/Tidskrift/Serie
IEEE ELMAR 2007
Dokumenttyp
Konferensbidrag
Ämne
- Signal Processing
Conference name
ELMAR-2007
Conference date
2007-09-12 - 2007-09-14
Conference place
Zadar, Croatia
Status
Published
ISBN/ISSN/Övrigt
- ISBN: 978-953-7044-05-3