Publications related to Grammatical gender

Word Sense Consistency in Statistical and Neural Machine Translation

Different senses of source words must often be rendered by different words in the target language when performing machine translation (MT). Selecting the correct translation of polysemous words can be done based on the contexts of use. However, state-of-th ...

EPFL2018

Pronoun Translation and Prediction with or without Coreference Links

Andrei Popescu-Belis, Lesly Sadiht Miculicich Werlen

The Idiap NLP Group has participated in both DiscoMT 2015 sub-tasks: pronoun-focused translation and pronoun prediction. The system for the first sub-task combines two knowledge sources: gram matical constraints from the hypothesized coreference links, and ...

2015

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Petr Motlicek, Philip Neil Garner, David Imseng

Recent studies have shown that speech recognizers may benefit from data in languages other than the target language through efficient acoustic model- or feature-level adaptation. Crosslingual Tandem-Subspace Gaussian Mixture Models (SGMM) are successfully ...

ISCA2013

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Petr Motlicek, Philip Neil Garner, David Imseng

Recent studies have shown that speech recognizers may benefit from data in languages other than the target language through efficient acoustic model- or feature-level adaptation. Crosslingual Tandem-Subspace Gaussian Mixture Models (SGMM) are successfully ...

Idiap2013

Enhancing State Mapping-Based Cross-Lingual Speaker Adaptation using Phonological Knowledge in a Data-Driven Manner

John David Scott Dines, Hui Liang

HMM state mapping with the Kullback-Leibler divergence as a distribution similarity measure is a simple and effective technique that enables cross-lingual speaker adaptation for speech synthesis. However, since this technique does not take any other potent ...

Idiap2013

Cognitive disorganisation and Sex affect visual backward masking: data from patients with schizophrenia, non-affected relatives and healthy controls

Michael Herzog, Christine Mohr, Maya Roinishvili, Guillaume Sierro

Endophenotypes (i.e. stable and heritable markers of the illness) are one of the promising tools to understand the pathological mechanisms underlying schizophrenia. We recently showed that deficits in visual backward masking (VBM) meet the criteria for an ...

2013

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer

Cross-lingual speaker adaptation (CLSA) has emerged as a new challenge in statistical parametric speech syn- thesis, with specific application to speech-to-speech translation. Recent research has shown that reasonable speaker similarity can be achieved in ...

Idiap2012

COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS

Philip Neil Garner, John David Scott Dines, Lakshmi Babu Saheer

Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis. VTLN produces speech with naturalness preferable to that of MLLR based adaptation tec ...

IEEE SPS (ICASSP)2012

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

Philip Neil Garner, John David Scott Dines, Lakshmi Babu Saheer

Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis. VTLN produces speech with naturalness preferable to that of MLLR- based adaptation te ...

Idiap2012

Phonological Knowledge Guided HMM State Mapping for Cross-Lingual Speaker Adaptation

John David Scott Dines, Hui Liang

Within the HMM state mapping-based cross-lingual speaker adaptation framework, the minimum Kullback-Leibler divergence criterion has been typically employed to measure the similarity of two average voice state distributions from two respective languages fo ...

2011

Grammatical gender

Word Sense Consistency in Statistical and Neural Machine Translation

Pronoun Translation and Prediction with or without Coreference Links

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Enhancing State Mapping-Based Cross-Lingual Speaker Adaptation using Phonological Knowledge in a Data-Driven Manner

Cognitive disorganisation and Sex affect visual backward masking: data from patients with schizophrenia, non-affected relatives and healthy controls

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

Phonological Knowledge Guided HMM State Mapping for Cross-Lingual Speaker Adaptation

Graph Chatbot

Chat with Graph Search

Pronoun Translation and Prediction with or without Coreference Links

Cognitive disorganisation and Sex affect visual backward masking: data from patients with schizophrenia, non-affected relatives and healthy controls

Word Sense Consistency in Statistical and Neural Machine Translation

COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Enhancing State Mapping-Based Cross-Lingual Speaker Adaptation using Phonological Knowledge in a Data-Driven Manner

Phonological Knowledge Guided HMM State Mapping for Cross-Lingual Speaker Adaptation

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework