Concept

Langage parlé

Publications associées (18)

HMM-based Approaches to Model Multichannel Information in Sign Language inspired from Articulatory Features-based Speech Processing

Marzieh Razavi, Sandrine Tornay, Necati Cihan Camgöz

Sign language conveys information through multiple channels, such as hand shape, hand movement, and mouthing. Modeling this multi-channel information is a highly challenging problem. In this paper, we elucidate the link between spoken language and sign lan ...

IEEE2019

Studying Migrant Assimilation Through Facebook Interests

Ingmar Weber, Venkata Rama Kiran Garimella

Migrant assimilation is a major challenge for European societies, in part because of the sudden surge of refugees in recent years and in part because of long-term demographic trends. In this paper, we use Facebook data for advertisers to study the levels o ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Excluded Linguistic Communities and the Production of an Inclusive Multilingual Digital Language Infrastructure

Martin Benjamin

The consequence of linguistic digital exclusion is the inability of billions of people to access vital knowledge and economic resources that contribute to prosperity in an era of globalization. However, rectifying linguistic inequity is mostly absent from ...

2015

Translating Head Motion into Attention - Towards Processing of Student’s Body-Language

Pierre Dillenbourg, Lukasz Kidzinski, Mirko Raca

Evidence has shown that student's attention is a crucial factor for engagement and learning gain. Although it can be accurately assessed ad-hoc by an experienced teacher, continuous contact with all students in a large class is difficult to maintain and re ...

2015

Scala-Virtualized: Linguistic Reuse for Deep Embeddings

Martin Odersky, Tiark Rompf, Philipp Haller, Nada Amin

Scala-Virtualized extends the Scala language to better support hosting embedded DSLs. Scala is an expressive language that provides a flexible syntax, type-level computation using implicits, and other features that facilitate the development of em- bedded ...

Springer Verlag2013

Integrating Language Identification to improve Multilingual Speech Recognition

Holger Caesar

The process of determining the language of a speech utterance is called Language Identification (LID). This task can be very challenging as it has to take into account various language-specific aspects, such as phonetic, phonotactic, vocabulary and grammar ...

Idiap2012

An Event-Based Architecture to Manage Virtual Human Non-Verbal Communication in 3D Chatting Environment

Daniel Thalmann, Ronan Boulic, Stéphane Gobron, Junghyun Ahn, Quentin Silvestre

Non-verbal communication (NVC) makes up about two-thirds of all communication between two people or between one speaker and a group of listeners. However, this fundamental aspect of communicating is mostly omitted in 3D social forums or virtual world orien ...

Springer Berlin Heidelberg2012

The Voice of Personality: Mapping Nonverbal Vocal Behavior into Trait Attributions

Gelareh Mohammadi, Alessandro Vinciarelli

This paper reports preliminary experiments on automatic attribution of personality traits based on nonverbal vocal behavioral cues. In particular, the work shows how prosodic features can be used to predict, with an accuracy up to 75% depending on the trai ...

2010

Discriminative Keyword Spotting

Samy Bengio, David Grangier

This chapter introduces a discriminative method for detecting and spotting keywords in spoken utterances. Given a word represented as a sequence of phonemes and a spoken utterance, the keyword spotter predicts the best time span of the phoneme sequence in ...

John Wiley and Sons2009

Impact de la communication voco-visuelle dans le management sur la motivation des collaborateurs

Our research work wishes to highlight the importance of the relationship between the vocal and physical behaviour of the manager and team motivation. In order to investigate this important relationship, a survey by means of a questionnaire and two field st ...

EPFL2009

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search