Add to ORKG\Lambda, sundarg.iitm.ernet.in Abstract In this paper, we propose two neural network-based approaches, namely, One Speaker One Network and One Speaker Multiple Networks, for text-dependent speaker verification using suprasegmental features. The suprasegmental features used for this study are pitch accent and durational features. These features are extracted using properties of intonation patterns and duration. We have proposed an approach to combine evidence present at the segmental and suprasegmental levels to improve the performance of the verification system
This paper explores novel ideas in building end-to-end deep neural network (DNN) based text-dependen...
Speaker authentication has been developed rapidly in the last few decades. This research work attemp...
In this paper, we propose a new differentiable neural network with an alignment mechanism for text-d...
This paper proposes a text-dependent (fixed-text) speaker verification system which uses different t...
This paper proposes a text-dependent (fixed-text) speaker verification system which uses different t...
In this paper we investigate the use of deep neural networks (DNNs) for a small footprint text-depen...
• Implement a high-accuracy text-dependent/short-duration speaker id system • Exploit Deep Neural Ne...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. ...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
Recurrent Neural Networks (RNN) have shown promise in the area of automatic speech recognition. In t...
The speech signal conveys information about the identity of the speaker. The area of speaker identif...
This paper explores novel ideas in building end-to-end deep neural network (DNN) based text-dependen...
Speaker authentication has been developed rapidly in the last few decades. This research work attemp...
In this paper, we propose a new differentiable neural network with an alignment mechanism for text-d...
This paper proposes a text-dependent (fixed-text) speaker verification system which uses different t...
This paper proposes a text-dependent (fixed-text) speaker verification system which uses different t...
In this paper we investigate the use of deep neural networks (DNNs) for a small footprint text-depen...
• Implement a high-accuracy text-dependent/short-duration speaker id system • Exploit Deep Neural Ne...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. ...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
International audienceThis paper presents an overview of a state-of-the-art text-independent speaker...
Recurrent Neural Networks (RNN) have shown promise in the area of automatic speech recognition. In t...
The speech signal conveys information about the identity of the speaker. The area of speaker identif...
This paper explores novel ideas in building end-to-end deep neural network (DNN) based text-dependen...
Speaker authentication has been developed rapidly in the last few decades. This research work attemp...
In this paper, we propose a new differentiable neural network with an alignment mechanism for text-d...