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» Architectural optimizations for low-power, real-time speech ...
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TSD
2010
Springer
13 years 7 months ago
Hybrid HMM/BLSTM-RNN for Robust Speech Recognition
The question how to integrate information from different sources in speech decoding is still only partially solved (layered architecture versus integrated search). We investigate t...
Yang Sun, Louis ten Bosch, Lou Boves
TASLP
2002
82views more  TASLP 2002»
13 years 9 months ago
Graceful degradation of speech recognition performance over packet-erasure networks
Abstract--This paper explores packet loss recovery for automatic speech recognition (ASR) in spoken dialog systems, assuming an architecture in which a lightweight client communica...
Constantinos Boulis, Mari Ostendorf, Eve A. Riskin...
ICMCS
2009
IEEE
102views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Scalable HMM based inference engine in large vocabulary continuous speech recognition
Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this paper we explore a design space for parallel scalability for...
Jike Chong, Kisun You, Youngmin Yi, Ekaterina Goni...
CASES
2003
ACM
14 years 3 months ago
A low-power accelerator for the SPHINX 3 speech recognition system
Accurate real-time speech recognition is not currently possible in the mobile embedded space where the need for natural voice interfaces is clearly important. The continuous natur...
Binu K. Mathew, Al Davis, Zhen Fang
AIPR
2008
IEEE
13 years 11 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...