Add to ORKGThis Master Thesis (MT) describes different techniques for speaker identification. Our goal is two-fold: first to build and curate an image and audio dataset and second to use it to create a speaker recognition system
In this thesis, we describe a biometric authentication system that is capable of recognizing its use...
The purpose of the study is to reveal the essence of multibiometric identification of students and s...
As humans, we develop the ability to recognise people by their voice from an early age. Getting comp...
This Master Thesis (MT) describes different techniques for speaker identification. Our goal is two-f...
�� 2014 The Authors. Published by IET. This is an open access article available under a Creative Com...
Speaker recognition is a technique of identifying the person talking to a machine using the voice fe...
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving structurally differe...
This paper presents a technique using artificial neural networks (ANNs) for speaker identification t...
Most existing datasets for speaker identification contain samples obtained under quite constrained c...
Deep learning, especially in the form of convolutional neural networks (CNNs), has triggered substan...
The objective of this paper is speaker recognition under noisy and unconstrained conditions. We mak...
Speaker identification techniques are one of those most advanced modern technologies and there are m...
In Automatic Speech Recognition (ASR) the non-linear data projection provided by a one hidden layer ...
The objective of this work is speaker recognition under noisy and unconstrained conditions. We make ...
This thesis is concerned with combining the audio biometric (voice) and the visual biometric (face) ...
In this thesis, we describe a biometric authentication system that is capable of recognizing its use...
The purpose of the study is to reveal the essence of multibiometric identification of students and s...
As humans, we develop the ability to recognise people by their voice from an early age. Getting comp...
This Master Thesis (MT) describes different techniques for speaker identification. Our goal is two-f...
�� 2014 The Authors. Published by IET. This is an open access article available under a Creative Com...
Speaker recognition is a technique of identifying the person talking to a machine using the voice fe...
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving structurally differe...
This paper presents a technique using artificial neural networks (ANNs) for speaker identification t...
Most existing datasets for speaker identification contain samples obtained under quite constrained c...
Deep learning, especially in the form of convolutional neural networks (CNNs), has triggered substan...
The objective of this paper is speaker recognition under noisy and unconstrained conditions. We mak...
Speaker identification techniques are one of those most advanced modern technologies and there are m...
In Automatic Speech Recognition (ASR) the non-linear data projection provided by a one hidden layer ...
The objective of this work is speaker recognition under noisy and unconstrained conditions. We make ...
This thesis is concerned with combining the audio biometric (voice) and the visual biometric (face) ...
In this thesis, we describe a biometric authentication system that is capable of recognizing its use...
The purpose of the study is to reveal the essence of multibiometric identification of students and s...
As humans, we develop the ability to recognise people by their voice from an early age. Getting comp...