Search Results for author: Raymond W. M. Ng

Found 7 papers, 0 papers with code

A cross-corpus study on speech emotion recognition

no code implementations5 Jul 2022 Rosanna Milner, Md Asif Jalal, Raymond W. M. Ng, Thomas Hain

This shows positive information transfer from acted datasets to those with more natural emotions and the benefits from training on different corpora.

Speech Emotion Recognition

Automatic Genre and Show Identification of Broadcast Media

no code implementations10 Jun 2016 Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng, Thomas Hain

Huge amounts of digital videos are being produced and broadcast every day, leading to giant media archives.

The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media

no code implementations21 Dec 2015 Oscar Saz, Mortaza Doulaty, Salil Deena, Rosanna Milner, Raymond W. M. Ng, Madina Hasan, Yu-Lan Liu, Thomas Hain

We describe the University of Sheffield system for participation in the 2015 Multi-Genre Broadcast (MGB) challenge task of transcribing multi-genre broadcast shows.

Acoustic Modelling Automatic Speech Recognition +1

Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation

no code implementations16 Nov 2015 Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng, Thomas Hain

This paper presents a new method for the discovery of latent domains in diverse speech data, for the use of adaptation of Deep Neural Networks (DNNs) for Automatic Speech Recognition.

Acoustic Modelling Automatic Speech Recognition +1

The USFD Spoken Language Translation System for IWSLT 2014

no code implementations13 Sep 2015 Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada Alharbi, Lucia Specia, Thomas Hain

The USFD primary system incorporates state-of-the-art ASR and MT techniques and gives a BLEU score of 23. 45 and 14. 75 on the English-to-French and English-to-German speech-to-text translation task with the IWSLT 2014 data.

Automatic Speech Recognition Machine Translation +3

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