Speech processing on a reconfigurable analog platform

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

12 Scopus Citations
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Author(s)

  • Shubha Ramakrishnan
  • Leung Kin Chiu
  • Jennifer Hasler
  • David Anderson
  • Stephen Brink

Detail(s)

Original languageEnglish
Article number6450118
Pages (from-to)430-433
Journal / PublicationIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume22
Issue number2
Publication statusPublished - Feb 2014
Externally publishedYes

Abstract

We describe architectures for audio classification front ends on a reconfigurable analog platform. Real-time implementation of audio processing algorithms involving discrete-time signals tend to be power-intensive. We present an alternate continuous-time system implementation of a noise-suppression algorithm on our reconfigurable chip, while detailing the design considerations. We also describe a framework that enables future implementations of other speech processing algorithms, classifier front ends, and hearing aids. © 1993-2012 IEEE.

Research Area(s)

  • Analog signal processing (ASP), noise suppression, reconfigurable, trans-linear

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.

Citation Format(s)

Speech processing on a reconfigurable analog platform. / Ramakrishnan, Shubha; Basu, Arindam; Chiu, Leung Kin; Hasler, Jennifer; Anderson, David; Brink, Stephen.

In: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 22, No. 2, 6450118, 02.2014, p. 430-433.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review