User voice identification on FPGA

J. Xu; A. Ariyaeeinia; R. Sotudeh

doi:10.1049/ic.2005.0789

User voice identification on FPGA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

User voice identification algorithms are traditionally developed on off-the-shelf digital signal processors. Recent silicon technology advances have provided the opportunity of deploying FPGAs as an alternative solution for this purpose. However, to date, the realisation of complex signal processing algorithms has been mainly based on software implementation. Inevitably, this has led to a wide gap between algorithms and hardware. This paper is aimed to explore algorithm-hardware migration technologies and, in particular, the realisation of speech feature extraction using FPGAs.

Original language	English
Title of host publication	Perspectives in Pervasive Computing
Pages	75-83
Number of pages	9
Volume	2005
Edition	1
DOIs	https://doi.org/10.1049/ic.2005.0789
Publication status	Published - 1 Dec 2005
Event	Perspectives in Pervasive Computing - London, United Kingdom Duration: 25 Oct 2005 → 25 Oct 2005

Conference

Conference	Perspectives in Pervasive Computing
Country/Territory	United Kingdom
City	London
Period	25/10/05 → 25/10/05

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10.1049/ic.2005.0789

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title = "User voice identification on FPGA",

abstract = "User voice identification algorithms are traditionally developed on off-the-shelf digital signal processors. Recent silicon technology advances have provided the opportunity of deploying FPGAs as an alternative solution for this purpose. However, to date, the realisation of complex signal processing algorithms has been mainly based on software implementation. Inevitably, this has led to a wide gap between algorithms and hardware. This paper is aimed to explore algorithm-hardware migration technologies and, in particular, the realisation of speech feature extraction using FPGAs.",

author = "J. Xu and A. Ariyaeeinia and R. Sotudeh",

year = "2005",

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AU - Xu, J.

AU - Ariyaeeinia, A.

AU - Sotudeh, R.

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N2 - User voice identification algorithms are traditionally developed on off-the-shelf digital signal processors. Recent silicon technology advances have provided the opportunity of deploying FPGAs as an alternative solution for this purpose. However, to date, the realisation of complex signal processing algorithms has been mainly based on software implementation. Inevitably, this has led to a wide gap between algorithms and hardware. This paper is aimed to explore algorithm-hardware migration technologies and, in particular, the realisation of speech feature extraction using FPGAs.

AB - User voice identification algorithms are traditionally developed on off-the-shelf digital signal processors. Recent silicon technology advances have provided the opportunity of deploying FPGAs as an alternative solution for this purpose. However, to date, the realisation of complex signal processing algorithms has been mainly based on software implementation. Inevitably, this has led to a wide gap between algorithms and hardware. This paper is aimed to explore algorithm-hardware migration technologies and, in particular, the realisation of speech feature extraction using FPGAs.

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M3 - Conference contribution

AN - SCOPUS:78651487406

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BT - Perspectives in Pervasive Computing

T2 - Perspectives in Pervasive Computing

Y2 - 25 October 2005 through 25 October 2005

ER -

User voice identification on FPGA

Abstract

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