A DSP-based modular architecture for noise cancellation and speech recognition

Author

Gómez, P. ; Álvarez, A. ; Martinez, R. ; Pérez-Castellanos, M. ; Rodellar, V. ; Neito, V.

Author_Institution

Fac. de Inf., Univ. Politecnica de Madrid, Spain

Volume

5

fYear

1998

fDate

31 May-3 Jun 1998

Firstpage

178

Abstract

The architecture of a low-cost Hardware Building Block (HBB) Board for Signal Processing is presented. An overview of the algorithms to be supported by the HBB is followed by a brief presentation of the low-cost hardware platform based on the TMS320C31, interfacing with a host computer through a PCI bus. A description of the modular solutions based on this board for isolated word speech recognition in noisy environments is also given. Measurements of the real-time performance of the card and several noise-canceling experiments are also shown. Applications of the proposed architecture may be found in the field of speech training, language acquisition, phonetics, and other related fields

Keywords

digital signal processing chips; noise abatement; speech processing; speech recognition; DSP-based modular architecture; PCI bus; TMS320C31; hardware building block; isolated word; language acquisition; low-cost hardware platform; noise cancellation; noise-canceling experiments; noisy environments; phonetics; signal processing; speech recognition; speech training; Application software; Computer architecture; Computer interfaces; Hardware; Noise cancellation; Noise measurement; Signal processing algorithms; Speech enhancement; Speech recognition; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4455-3

Type

conf

DOI

10.1109/ISCAS.1998.694437

Filename

694437