Publications related to Indexing Audio Documents by using Latent Semantic Analysis and SOM

Machine Learning for Information Retrieval

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. Thisidentifica ...

IDIAP2008

A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Exploitation de connaissances sémantiques externes dans les représentations vectorielles en recherche documentaire

Florian Seydoux

The work presented in this thesis deals with several problems met in information retrieval (IR), task which one can summarise as identifying, in a collection of "documents", a subset of documents carrying a sought information, i.e.. relevant for a request ...

EPFL2006

Natural Language Techniques for Model-driven Semantic Constraint Extraction

Martin Rajman, Marita Ailomaa

This report describes a model-driven approach to natural language understanding (NLU) in which the “meaning” of natural language queries is extracted based on a domain model composed of a set of concepts and relations specified in the system’s domain. The ...

2005

Exploiting Hyperlinks to Learn a Retrieval Model

Samy Bengio, David Grangier

Information Retrieval (IR) aims at solving a ranking problem: given a query

q

and a corpus

C

, the documents of

C

should be ranked such that the documents relevant to

q

appear above the others. This task is generally performed by ranking the documen ...

2005

On the Use of Information Retrieval Measures for Speech Recognition Evaluation

Hervé Bourlard, Daniel Gatica-Perez, John David Scott Dines, Darren Moore

This paper discusses the evaluation of automatic speech recognition (ASR) systems developed for practical applications, suggesting a set of criteria for application-oriented performance measures. The commonly used word error rate (WER), which poses ASR eva ...

IDIAP2004

Information Retrieval on Noisy Text

Hervé Bourlard, David Grangier, Alessandro Vinciarelli

Spoken Document Retrieval (SDR) consists in retrieving segments of a speech database that are relevant to a query. The state-of-the-art approach to the SDR problem consists in transcribing the speech data into digital text before applying common Informatio ...

IDIAP2003

Cognitive language engineering towards robust human-computer interaction

Vincenzo Pallotta

Intelligent information processing seems to be one of the most challenging task among those involved in human-computer interaction. A central issue is how to model the various types of interaction among artificial and natural entities at different levels o ...

EPFL2002

Intégration de connaissances syntaxiques et sémantiques dans les représentations vectorielles de textes

Romaric Besançon

The notion of similarity between texts is fundamental for many applications of Natural Language Processing. For example, this notion is particularly useful for the applications designed for the management of information in large textual databases, such as ...

EPFL2002

Joint Textual And Visual Cues For Retrieving Images Using Latent Semantic Indexing

Martin Vetterli, Serge Ayer, Zoran Pecenovic

In this article we present a novel approach of integrating textual and visual descriptors of images in a uniﬁed retrieval structure. The methodology, inspired from text retrieval and information ﬁltering is based on Latent Semantic Indexing (LS1). ...

2001

Indexing Audio Documents by using Latent Semantic Analysis and SOM

Graph Chatbot

Chat with Graph Search

Machine Learning for Information Retrieval

A multimodal pattern recognition framework for speaker detection

Exploitation de connaissances sémantiques externes dans les représentations vectorielles en recherche documentaire

Natural Language Techniques for Model-driven Semantic Constraint Extraction

Exploiting Hyperlinks to Learn a Retrieval Model

On the Use of Information Retrieval Measures for Speech Recognition Evaluation

Information Retrieval on Noisy Text

Cognitive language engineering towards robust human-computer interaction

Intégration de connaissances syntaxiques et sémantiques dans les représentations vectorielles de textes

Joint Textual And Visual Cues For Retrieving Images Using Latent Semantic Indexing

Machine Learning for Information Retrieval

Natural Language Techniques for Model-driven Semantic Constraint Extraction

A multimodal pattern recognition framework for speaker detection

Exploitation de connaissances sémantiques externes dans les représentations vectorielles en recherche documentaire

On the Use of Information Retrieval Measures for Speech Recognition Evaluation

Cognitive language engineering towards robust human-computer interaction

Joint Textual And Visual Cues For Retrieving Images Using Latent Semantic Indexing

Exploiting Hyperlinks to Learn a Retrieval Model

Information Retrieval on Noisy Text

Intégration de connaissances syntaxiques et sémantiques dans les représentations vectorielles de textes