3nonenoneBarbon Junior S; Guido R.C.; Vieira L.S.Barbon Junior, S; Guido, R. C.; Vieira, L. S
The goal of the paper is to present a speech nonfluency detection method based on linear prediction ...
Speech is one of the most effective way for human and machine to interact. This project aims to buil...
The field of digital speech processing may be divided into three distinct and somewhat in- depend...
The content of this work is focused on the neural network per speaker recognition. The work deals wi...
Speaker Recognition is a challenging task and is widely used in many speech aided applications. This...
A set of recurrent artificial neural networks are used for speech recognition. By representing speec...
This paper argues that neural networks are good vehicles for automatic speech recognition not simply...
Sygnał mowy posiada bardzo skomplikowaną naturę, która sprawia że jego zobrazowanie oraz dalsza anal...
Abstract. This paper argues that neural networks are good vehicles for automatic speech recognition ...
Senior Project submitted to The Division of Science, Mathematics and Computing of Bard College. Abst...
This work investigates features derived from an artificial neural network. These artificial neural n...
Speech recognition is a subjective phenomenon. Despite being a huge research in this field, this pro...
A speech problem can be caused by different reasons, from psychological to organic. The existing dia...
Speech recognition is one of the most important problems in artificial intelligence today. Despite n...
A need was established in conjunction with an USAF-sponsored project to develop a speech element cla...
The goal of the paper is to present a speech nonfluency detection method based on linear prediction ...
Speech is one of the most effective way for human and machine to interact. This project aims to buil...
The field of digital speech processing may be divided into three distinct and somewhat in- depend...
The content of this work is focused on the neural network per speaker recognition. The work deals wi...
Speaker Recognition is a challenging task and is widely used in many speech aided applications. This...
A set of recurrent artificial neural networks are used for speech recognition. By representing speec...
This paper argues that neural networks are good vehicles for automatic speech recognition not simply...
Sygnał mowy posiada bardzo skomplikowaną naturę, która sprawia że jego zobrazowanie oraz dalsza anal...
Abstract. This paper argues that neural networks are good vehicles for automatic speech recognition ...
Senior Project submitted to The Division of Science, Mathematics and Computing of Bard College. Abst...
This work investigates features derived from an artificial neural network. These artificial neural n...
Speech recognition is a subjective phenomenon. Despite being a huge research in this field, this pro...
A speech problem can be caused by different reasons, from psychological to organic. The existing dia...
Speech recognition is one of the most important problems in artificial intelligence today. Despite n...
A need was established in conjunction with an USAF-sponsored project to develop a speech element cla...
The goal of the paper is to present a speech nonfluency detection method based on linear prediction ...
Speech is one of the most effective way for human and machine to interact. This project aims to buil...
The field of digital speech processing may be divided into three distinct and somewhat in- depend...
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