Add to ORKGThis master thesis characterizes the performance and energy bottlenecks of speech recognition systems when running on modern GPU, with the aim of providing useful information for designing future GPU architectures, as well as proposing a GPU configuration more well-suited for speech recognition
technical reportAccurate real-time speech recognition is not currently possible in the mobile embedd...
Speech recognition is a computationally demanding task, especially the decoding part, which converts...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This master thesis characterizes the performance and energy bottlenecks of speech recognition system...
MSc (Computer Science), North-West University, Mafikeng Campus, 2014In a typical recognition process...
Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile seg...
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done i...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
Automatic Speech Recognition (ASR) is one of the most important applications in the area of cognitiv...
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihoo...
This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods i...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
technical reportAccurate real-time speech recognition is not currently possible in the mobile embedd...
Speech recognition is a computationally demanding task, especially the decoding part, which converts...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This master thesis characterizes the performance and energy bottlenecks of speech recognition system...
MSc (Computer Science), North-West University, Mafikeng Campus, 2014In a typical recognition process...
Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile seg...
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done i...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
Automatic Speech Recognition (ASR) is one of the most important applications in the area of cognitiv...
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihoo...
This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods i...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
technical reportAccurate real-time speech recognition is not currently possible in the mobile embedd...
Speech recognition is a computationally demanding task, especially the decoding part, which converts...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...