Related publications (72)

Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages

Petr Motlicek, Philip Neil Garner

The multi-level adaptive networks (MLAN) technique is a cross-lingual adaptation framework where a bottleneck (BN) layer in a deep neural network (DNN) trained in a source lan- guage is used for producing BN features to be exploited in a second DNN in a ta ...
2016

The Number of Genomic Copies at the 16p11.2 Locus Modulates Language, Verbal Memory, and Inhibition

Bogdan Draganski, Nouchine Hadjikhani, Loyse Hippolyte, Borja Rodriguez Herreros

BACKGROUND: Deletions and duplications of the 16p11.2 BP4-BP5 locus are prevalent copy number variations (CNVs), highly associated with autism spectrum disorder and schizophrenia. Beyond language and global cognition, neuropsychological assessments of thes ...
Elsevier Science Inc2016

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

Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model

Ramya Rasipuram

One of the key challenges involved in building statistical automatic speech recognition (ASR) systems is modeling the relationship between subword units or “lexical units” and acoustic feature observations. To model this relationship two types of resources ...
2015

Exploiting foreign resources for DNN-based ASR

Petr Motlicek, Philip Neil Garner, David Imseng

Manual transcription of audio databases for the development of automatic speech recognition (ASR) systems is a costly and time-consuming process. In the context of deriving acoustic models adapted to a specific application, or in low-resource scenarios, it ...
2015

Exploiting foreign resources for DNN-based ASR

Petr Motlicek, Philip Neil Garner, David Imseng

Manual transcription of audio databases for the development of automatic speech recognition (ASR) systems is a costly and time-consuming process. In the context of deriving acoustic models adapted to a specific application, or in low-resource scenarios, it ...
Idiap2015

Appropriation of a representational tool in a second-language classroom

Yun Wen

While the affordances of face-to-face and online environments have been studied somewhat extensively, there is relatively less research on how technology-mediated learning takes place across multiple media in the networked classroom environment where face- ...
Springer2015

Participatory Language Technologies as Core Systems for Sustainable Development Activities

Martin Benjamin

Introduction and purpose: Language is the medium by which people interact with all aspects of their worlds, whether economics, health, the environment, or technology. In both development programs and technology, however, language is usually given secondary ...
2014

Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model

Ramya Rasipuram

One of the key challenge involved in building a statistical automatic speech recognition (ASR) system is modeling the relationship between lexical units (that are based on subword units in the pronunciation lexicon) and acoustic feature observations. To mo ...
Idiap2014

Architecture without Content 6: Without Venturi

Kersten Geers

Robert Venturi is probably architecture's best-known hero for the wrong reason. Extremely successful at a young age as the iconoclast of North America's late modernism, he soon came to represent (through his collaboration with Denise Scott Brown and Steven ...
2014

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