Concept

Generative adversarial network

Related publications (533)

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Semi-supervised Adapted HMMs for Unusual Event Detection

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the application of traditional supervised model-based approaches. We propose a semi-supe ...

2005

Unsupervised Spectral Substraction for Noise-Robust ASR

Hervé Bourlard, Guillaume Lathoud, Bertrand Mesot

This paper proposes a simple, computationally efficient \mbox{2-mixture} model approach to discriminate between speech and background noise at the magnitude spectrogram level. It is directly derived from observations on real data, and can be used in a full ...

IDIAP2005

Using Highly Discriminative Keys for Indexing in a Peer-to-Peer Full-Text Retrieval System

Karl Aberer, Martin Rajman, Vinh Toan Luu, Fabius Klemm

Excessive network bandwidth consumption, caused by the transmission of long posting lists, was identified as one of the major bottlenecks for implementing distributed full-text retrieval in a Peer-to-Peer (P2P) architecture. To address this problem we intr ...

2005

Unsupervised Spectral Subtraction for Noise-Robust ASR

Hervé Bourlard, Guillaume Lathoud, Bertrand Mesot

This paper proposes a simple, computationally efficient 2-mixture model approach to discriminate between speech and background noise at the magnitude spectrogram level. It is directly derived from observations on real data, and can be used in a fully unsup ...

2005

A Discriminative Decoder for the Recognition of Phoneme Sequences

Samy Bengio, David Grangier

In this report, we propose a discriminative decoder for phoneme recognition, i.e. the identification of the uttered phoneme sequence from a speech recording. This task is solved as a 3 step process: a phoneme classifier first classifies each accoustic fram ...

IDIAP2005

Spiking neural network device

Dario Floreano

Device comprising storage means (51) for storing a genotypic representation (3) of a spiking neural network comprising spiking neurons (1) and input neurons (2) connected by synapses, and computer program portions for performing the steps of mutating said ...

2004

Nonlinear feature transformations for noise robust speech recognition

Shajith Ikbal

Robustness against external noise is an important requirement for automatic speech recognition (ASR) systems, when it comes to deploying them for practical applications. This thesis proposes and evaluates new feature-based approaches for improving the ASR ...

EPFL2004

EEG Classification using Generative Independent Component Analysis

Silvia Chiappa

We present an application of Independent Component Analysis (ICA) to the discrimination of mental tasks for EEG-based Brain Computer Interface systems. ICA is most commonly used with EEG for artifact identification with little work on the use of ICA for di ...

IDIAP2004

Semi-supervised Adapted HMMs for Unusual Event Detection

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

IDIAP2004

Digital Signature Schemes with Domain Parameters

Serge Vaudenay

Digital signature schemes often use domain parameters such as prime numbers or elliptic curves. They can be subject to security threats when they are not treated like public keys. In this paper we formalize the notion of "signature scheme with domain param ...

2004