activity
20152022
most citedA cross-corpus study on speech emotion recognition

31 citations · 53 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 31 cited

A cross-corpus study on speech emotion recognition

Rosanna Milner, Md Asif Jalal, Raymond W. M. Ng +1

For speech emotion datasets, it has been difficult to acquire large quantities of reliable data and acted emotions may be over the top compared to less expressive emotions displaye…

cs.MM2016

Automatic Genre and Show Identification of Broadcast Media

Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng +1

Huge amounts of digital videos are being produced and broadcast every day, leading to giant media archives. Effective techniques are needed to make such data accessible further. Au…

cs.CL2015★ 7 cited

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

Oscar Saz, Mortaza Doulaty, Salil Deena +5

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

cs.CL2015★ 6 cited

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

Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng +1

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 Recogniti…

cs.CL2015★ 9 cited

The USFD Spoken Language Translation System for IWSLT 2014

Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla +7

The University of Sheffield (USFD) participated in the International Workshop for Spoken Language Translation (IWSLT) in 2014. In this paper, we will introduce the USFD SLT system…