Please use this identifier to cite or link to this item: https://doi.org/10.1145/1216919.1216928
Title: A 1000-word vocabulary, speaker-independent, continuous live-mode speech recognizer implemented in a single FPGA
Authors: Lin E.C.
Yu K.
Rutenbar R.A.
Chen T. 
Keywords: DSP
FPGA
In silico vox
Speech recognition
Issue Date: 2007
Citation: Lin E.C., Yu K., Rutenbar R.A., Chen T. (2007). A 1000-word vocabulary, speaker-independent, continuous live-mode speech recognizer implemented in a single FPGA. ACM/SIGDA International Symposium on Field Programmable Gate Arrays - FPGA : 60-68. ScholarBank@NUS Repository. https://doi.org/10.1145/1216919.1216928
Abstract: The Carnegie Mellon In Silico Vox project seeks to move best-quality speech recognition technology from its current software-only form into a range of efficient all-hardware implementations. The central thesis is that, like graphics chips, the application is simply too performance hungry, and too power sensitive, to stay as a large software application. As a first step in this direction, we describe the design and implementation of a fully functional speech-to-text recognizer on a single Xilinx XUP platform. The design recognizes a 1000 word vocabulary, is speaker-independent, recognizes continuous (connected) speech, and is a "live mode" engine, wherein recognition can start as soon as speech input appears. To the best of our knowledge, this is the most complex recognizer architecture ever fully committed to a hardware-only form. The implementation is extraordinarily small, and achieves the same accuracy as state-of-the-art software recognizers, while running at a fraction of the clock speed. Copyright 2007 ACM.
Source Title: ACM/SIGDA International Symposium on Field Programmable Gate Arrays - FPGA
URI: http://scholarbank.nus.edu.sg/handle/10635/146269
ISBN: 1595936009
9781595936004
DOI: 10.1145/1216919.1216928
Appears in Collections:Staff Publications

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