NDLI: Fixed-point arithmetic trade-offs in adaptive filters for speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Garcia-Alcantara, V. Rodelllar, V. Gomez-Vilda, P.
Copyright Year	1998
Description	Author affiliation: Fac. de Inf., Univ. Politecnica de Madrid, Spain (Garcia-Alcantara, V.)
Abstract	In this paper the data precision behavior of adaptive filters is studied when implemented in fixed point. The performance evaluation has been tested under two parameters: the number of bits used for the integer and fractional parts in fixed point format and two's complement arithmetic and the preprocessing order of speech data. To validate our results we have evaluated the relative mean square error between the results obtained using the standard 32-bit floating point and different fixed point formats. The input data being used for testing are speech sounds in Spanish for speech recognition purposes. The obtained results allow us to optimally dimension an arithmetic unit in fixed-point formats that can be quickly implemented by high-level synthesis tools. The results from this work can also be used for implementing the pre-processing stage for begin-end word detection.
Starting Page	518
Ending Page	521
File Size	373352
Page Count	4
File Format	PDF
ISBN	0780338790
DOI	10.1109/MELCON.1998.692480
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-18
Publisher Place	Israel
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fixed-point arithmetic Adaptive filters Speech recognition Speech processing Error correction Convergence Noise robustness Adaptive algorithm Noise cancellation Lattices
Content Type	Text
Resource Type	Article

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