SHERP

부 벡터 군집화를 통한 FPGA기반 음성 인식기의 수행 속도 향상
Execution Speed Improvement of FPGA-based Speech Recognizer using Sub-vector Clustering

Cited 0 time in webofscience Cited 0 time in scopus
Authors
최정욱; 성원용
Issue Date
2009-07
Publisher
대한전자공학회 = The Institute of Electronics Engineers of Korea
Citation
대한전자공학회 2009년 하계종합학술대회 2009. 7
Abstract
Reducing the memory bandwidth is very critical for real-time implementation of a large vocabulary speech recognizer. In this paper, we implemented sub-vector clustering algorithm in hardware to alleviate the problem of much extreme memory access. The experimental result shows that this implementation accelerates acoustic likelihood computation twice faster, and increases the speed of overall recognition by 22%.
Language
Korean
URI
http://www.ieek.or.kr

http://hdl.handle.net/10371/6169
Files in This Item:
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Others_전기·정보공학부
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse