Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done into developing new techniques to improve the speed of ASR applications, including works leveraging hardware such as field programmable gate arrays (FPGAs) and graphics processing units (GPUs). In this thesis, a section of the ASR system, Gaussian mixture model (GMM) evaluation, was accelerated using GPU computing techniques. Profiling of software-based ASR programs revealed that GMM evaluation was one of the most time-consuming steps, indicating that the acceleration of this segment of the program could yield great benefits overall. Utilizing NVidia’s CUDA programming model, GPU code was developed in accordance with the methods of previous e...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
Gaussian Mixture Model (GMM) statistics are required for maximum likelihood training as well as for ...
Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile seg...
In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evalua...
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihoo...
Abstract — Gaussian mixture models (GMMs) are often used in various data processing and classificati...
This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods i...
This master thesis characterizes the performance and energy bottlenecks of speech recognition system...
In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evalu...
MSc (Computer Science), North-West University, Mafikeng Campus, 2014In a typical recognition process...
Accurate, real-time Automatic Speech Recognition (ASR) comes at a high energy cost, so accuracy has ...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This thesis introduces an acoustic pre-pruning algorithm that speeds up lattice scoring for GMM base...
A speech recognition system can be classified based on two factors: (1) whether the system is speake...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
Gaussian Mixture Model (GMM) statistics are required for maximum likelihood training as well as for ...
Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile seg...
In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evalua...
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihoo...
Abstract — Gaussian mixture models (GMMs) are often used in various data processing and classificati...
This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods i...
This master thesis characterizes the performance and energy bottlenecks of speech recognition system...
In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evalu...
MSc (Computer Science), North-West University, Mafikeng Campus, 2014In a typical recognition process...
Accurate, real-time Automatic Speech Recognition (ASR) comes at a high energy cost, so accuracy has ...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This thesis introduces an acoustic pre-pruning algorithm that speeds up lattice scoring for GMM base...
A speech recognition system can be classified based on two factors: (1) whether the system is speake...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
Gaussian Mixture Model (GMM) statistics are required for maximum likelihood training as well as for ...
Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile seg...