Proceedings of the 42nd Annual Conference on Design Automation - DAC '05 2005
DOI: 10.1145/1065579.1065760
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Hardware speech recognition for user interfaces in low cost, low power devices

Abstract: We propose a system architecture for real-time hardware speech recognition on low-cost, power-constrained devices. The system is intended to support real-time speech-based user interfaces as part of an effort to bring Information and Communication Technologies (ICTs) to underdeveloped regions of the world.Our system architecture exploits a shared infrastructure model. The computationally intensive task of speech model training and retraining is performed offline by shared servers, while the actual recognition … Show more

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Cited by 34 publications
(8 citation statements)
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“…A fused multiply-add unit then performs the scale and weight adjustment. The 'logadd' unit evaluates the logarithm of additon and hence completes equation ( 5). The logadd unit uses the following mathematical simplificationlog(A + B) = log(A(1 + The design is pipelined.…”
Section: B Phone Decode Observation Probability (Op) Unitmentioning
confidence: 99%
See 1 more Smart Citation
“…A fused multiply-add unit then performs the scale and weight adjustment. The 'logadd' unit evaluates the logarithm of additon and hence completes equation ( 5). The logadd unit uses the following mathematical simplificationlog(A + B) = log(A(1 + The design is pipelined.…”
Section: B Phone Decode Observation Probability (Op) Unitmentioning
confidence: 99%
“…al. [5] uses SRAM and Flash memory for processing and acoustic and language model. The vocabulary is limited to only couple of hundred words.…”
Section: Related Workmentioning
confidence: 99%
“…We also completed the design for a low-power hardware-based speech recognizer chip. 30 We estimate a 100 percent duty cycle power A delay-tolerant network system can deliver data reliably even in the face of a wide range of disruptions.…”
Section: User Interfacesmentioning
confidence: 99%
“…Online recommendation offers like those from Flipkart and Amazon, real-time advertisements on web pages and mobile devices, web search results are some of the examples of ML applications that we are familiar with. Few other applications are Optical Character Recognition (OCR) [3], speech recognition [4,5] and pattern classification [6].…”
Section: Introductionmentioning
confidence: 99%