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AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Publications associées (32)

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Privacy-Sensitive Audio Features for Conversational Speech Processing

Sree Hari Krishnan Parthasarathi

The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...

EPFL2011

Privacy-Sensitive Audio Features for Conversational Speech Processing

Sree Hari Krishnan Parthasarathi

Ecole Polytechnique Fédérale de Lausanne2011

Robust overlapping speech recognition based on neural networks

John David Scott Dines, Weifeng Li

We address issues for improving hands-free speech recognition performance in the presence of multiple simultaneous speakers using multiple distant microphones. In this paper, a log spectral mapping is proposed to estimate the log mel-filterbank outputs of ...

IDIAP2007

Information-theoretic approach to embodied category learning

We address the issue of how statistical and information-theoric measures can be employed to quantify the categorization process of a simulated robotic agent interacting with its local environment. We show how correlation, entropy, and mutual information ca ...

2005

Text Detection and Recognition in Images and Videos

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

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 ...

2004

Noisy Text Clustering

David Grangier, Alessandro Vinciarelli

This work presents document clustering experiments performed over noisy texts (i.e. text that have been extracted through an automatic process like speech or character recognition). The effect of recognition errors on different clustering techniques is mea ...

IDIAP2004

A Local Neural Classifier for the Recognition of EEG Patterns Associated to Mental Tasks

José del Rocio Millán Ruiz

This paper proposes a novel and simple local neural classifier for the recognition of mental tasks from on-line spontaneous EEG signals. The proposed neural classifier recognizes three mental tasks from on-line spontaneousEEGsignals. Correct recognition is ...

Institute of Electrical and Electronics Engineers2002

Text Detection and Recognition in Images and Videos

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

IDIAP2002

Language modeling based on neural clustering of words

This document describes a neural method for clustering words and its use in language modeling for speech recognizers. The method is based on clustering the words which appear on similar local context and estimating the parameters needed for language modeli ...

IDIAP2000

Image Classification by Neural Networks for the Quality Control of Watches

A method is presented for the automatic time detection of watches, where the hands are classified by a neural network. In order to reduce the overall cost of data collection, strict limits were imposed on the data collection time. This constraint severely ...

IDIAP1996