Publications de John David Scott Dines

Publications associées (7)

Current trends in multilingual speech processing

Petr Motlicek, Philip Neil Garner, Hervé Bourlard, Mathew Magimai Doss, Lakshmi Babu Saheer, David Imseng, John David Scott Dines, Hui Liang

In this paper, we describe recent work at Idiap Research Institute in the domain of multilingual speech processing and provide some insights into emerging challenges for the research community. Multilingual speech processing has been a topic of ongoing int ...

2011

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Philip Neil Garner, Hervé Bourlard, Mathew Magimai Doss, David Imseng, John David Scott Dines

In the context of hybrid HMM/MLP Automatic Speech Recognition (ASR), this paper describes an investigation into a new type of stochastic phone space transformation, which maps "source" phone (or phone HMM state) posterior probabilities (as obtained at the ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Hi YouTube! Personality Impressions and Verbal Content in Social Video

Daniel Gatica-Perez, Joan Isaac Biel Tres, John David Scott Dines

Despite the evidence that social video conveys rich human personality information, research investigating the automatic prediction of personality impressions in vlogging has shown that, amongst the Big-Five traits, automatic nonverbal be- havioral cues are ...

2013

Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis

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

Vocal tract length normalization (VTLN) has been successfully used in automatic speech recognition for improved performance. The same technique can be implemented in statistical parametric speech synthesis for rapid speaker adaptation during synthesis. Thi ...

2012

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

Lakshmi Babu Saheer, John David Scott Dines, Hui Liang

In this paper we present results of unsupervised cross-lingual speaker adaptation applied to text-to-speech synthesis. The application of our research is the personalisation of speech-to-speech translation in which we employ a HMM statistical framework for ...

2013

Transcribing meetings with the AMIDA systems

Philip Neil Garner, John David Scott Dines

In this paper we give an overview of the AMIDA systems for transcription of conference and lecture room meetings. The systems were developed for participation in the Rich Transcription evaluations conducted by the National Institute for Standards and Techn ...

2012

Measuring the gap between HMM-based ASR and TTS

John David Scott Dines

2010