Privacy-Sensitive Audio Features for Conversational Speech Processing
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The goal of the present thesis was to investigate and optimize different approaches towards User-Customized Password Speaker Verification (UCP-SV) systems. In such systems, users can choose their own passwords, which will be subsequently used for verificat ...
Traditional speech recognition systems use Gaussian mixture models to obtain the likelihoods of individual phonemes, which are then used as state emission probabilities in hidden Markov models representing the words. In hybrid systems, the Gaussian mixture ...
This paper presents the theoretical basis and preliminary experimental results of a new HMM model, referred to as HMM2, which can be considered as a mixture of HMMs. In this new model, the emission probabilities of the temporal (primary) HMM are estimated ...
The goal of the thesis is to investigate different approaches that combine and integrate Automatic Speech Recognition (ASR) and Speaker Recognition (SR) systems, with applications to (1) User-Customized Password Speaker Verification (UCP-SV) systems, and, ...
The goal of the present thesis was to investigate and optimize different approaches towards User-Customized Password Speaker Verification (UCP-SV) systems. In such systems, users can choose their own passwords, which will be subsequently used for verificat ...
École Polytechnique Fédérale de Lausanne, Computer Science Department2005
This paper presents an attempt at assessing empirically how a state-of-the-art text-independent speaker verification system behaves when confronted to imposting attempts from a professional imitator who perfectly knows how to imitate in particular the clie ...
Text embedded in images and videos represents a rich source of information for content-based indexing and retrieval applications. In this paper, we present a new method for localizing and recognizing text in complex images and videos. Text localization is ...
In current automatic speech recognition (ASR) systems, the energy is not used as part of the feature vector in spite of being a fundamental feature in the speech signal. The noise inherent in its estimation degrades the system performance. In this report w ...
Automatic Speech Recognition systems typically use smoothed spectral features as acoustic observations. In recent studies, it has been shown that complementing these standard features with pitch frequency could improve the system performance of the system. ...
The problem we address in this paper is, whether the feature extraction module trained on large amounts of task independent data, can improve the performance of stochastic models? We show that when there is only a small amount of task specific training dat ...
