This paper describes about some speech synthesis and speech recognition algorithms and compares their performance based on accuracy and quality. In speech recognition DTW and HMM algorithms are compared with respect to accuracy. Comparative study of CELP and MBROLA algorithm of speech synthesis based on quality is also done
The goal of this paper was to compare numerous speech recognition algorithms in terms of detection a...
The article considers the current state of models and methods of speech synthesis. Their ad-vantages...
In order to examine the effectiveness of parameters in speech recognition, it is preferable to repro...
An introduction to the methodologies used in the automated recognition and synthesis of human speech...
The Speech Processing is turned up as one of the essential software region in virtual signal process...
This master's thesis deals with design of speech recognition algorithms with consideration of target...
In most speech recognition evaluation studies, the focus is usually on one single speech recognition...
This book on Speech Processing consists of seven chapters written by eminent researchers from Italy,...
The merits of different signal preprocessing schemes for speech recognizers are usually assessed pur...
Speech recognition system recognizes the speech samples. There are many speech recognition systems i...
Nowadays speech processing should become very important because it is one of the best alternatives o...
Abstract- Speech is one of the natural ways for humans to communicate. Human Voice is a unique chara...
Several feature extraction techniques, algorithms and toolkits are researched to investigate how spe...
Statistical parametric speech synthesis, based on HMM-like models, has become competitive with estab...
In this paper, we applied techniques such as Levinson-Durbin, DTW and maximum likelihood classificat...
The goal of this paper was to compare numerous speech recognition algorithms in terms of detection a...
The article considers the current state of models and methods of speech synthesis. Their ad-vantages...
In order to examine the effectiveness of parameters in speech recognition, it is preferable to repro...
An introduction to the methodologies used in the automated recognition and synthesis of human speech...
The Speech Processing is turned up as one of the essential software region in virtual signal process...
This master's thesis deals with design of speech recognition algorithms with consideration of target...
In most speech recognition evaluation studies, the focus is usually on one single speech recognition...
This book on Speech Processing consists of seven chapters written by eminent researchers from Italy,...
The merits of different signal preprocessing schemes for speech recognizers are usually assessed pur...
Speech recognition system recognizes the speech samples. There are many speech recognition systems i...
Nowadays speech processing should become very important because it is one of the best alternatives o...
Abstract- Speech is one of the natural ways for humans to communicate. Human Voice is a unique chara...
Several feature extraction techniques, algorithms and toolkits are researched to investigate how spe...
Statistical parametric speech synthesis, based on HMM-like models, has become competitive with estab...
In this paper, we applied techniques such as Levinson-Durbin, DTW and maximum likelihood classificat...
The goal of this paper was to compare numerous speech recognition algorithms in terms of detection a...
The article considers the current state of models and methods of speech synthesis. Their ad-vantages...
In order to examine the effectiveness of parameters in speech recognition, it is preferable to repro...
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