Add to ORKGA speech recognition system can be classified based on two factors: (1) whether the system is speaker-dependent or speaker-independent, and (2) whether the system works for continuous speech or isolated words. Ideally, it should be abl
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
Personal computers are more efficient than main frame computers in terms of portable and personal us...
This paper focuses on the development of a speaker-independent speech recognition system. The system...
This master thesis characterizes the performance and energy bottlenecks of speech recognition system...
This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods i...
Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done i...
MSc (Computer Science), North-West University, Mafikeng Campus, 2014In a typical recognition process...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihoo...
This research explores the possibility of using a combination of a phonetic feature based binary enc...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
This isolated-word speech recognition system is a PC-based implementation which has limited vocabula...
In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evalua...
This paper describes the implementation of a streaming spec-tral processing system for realtime audi...
Speech is the most natural way of human communication. At least half of a century researchers and en...
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
Personal computers are more efficient than main frame computers in terms of portable and personal us...
This paper focuses on the development of a speaker-independent speech recognition system. The system...
This master thesis characterizes the performance and energy bottlenecks of speech recognition system...
This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods i...
Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done i...
MSc (Computer Science), North-West University, Mafikeng Campus, 2014In a typical recognition process...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihoo...
This research explores the possibility of using a combination of a phonetic feature based binary enc...
Tématem této diplomové práce je využití grafické karty pro urychlení zpracování řeči. Práce obsahuje...
This isolated-word speech recognition system is a PC-based implementation which has limited vocabula...
In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evalua...
This paper describes the implementation of a streaming spec-tral processing system for realtime audi...
Speech is the most natural way of human communication. At least half of a century researchers and en...
Gaussian Mixture Model (GMM) computations in modern Automatic Speech Recognition systems are known t...
Personal computers are more efficient than main frame computers in terms of portable and personal us...
This paper focuses on the development of a speaker-independent speech recognition system. The system...