Search Results - "James, Jesin"

Exploring Prosodic Features Modelling for Secondary Emotions Needed for Empathetic Speech Synthesis by James, Jesin, B T, Balamurali, Watson, Catherine, Mixdorff, Hansjörg

“…A low-resource emotional speech synthesis system for empathetic speech synthesis based on modelling prosody features is presented here. Secondary emotions,…”
Get full text

Empathetic Speech Synthesis and Testing for Healthcare Robots by James, Jesin, Balamurali, B. T., Watson, Catherine I., MacDonald, Bruce

“…One of the major factors that affect the acceptance of robots in Human-Robot Interaction applications is the type of voice with which they interact with…”
Get full text

Artificial Empathy in Social Robots: An analysis of Emotions in Speech by James, Jesin, Watson, Catherine Inez, MacDonald, Bruce

“…Artificial speech developed using speech synthesizers has been used as the voice for robots in Human Robot Interaction (HRI). As humans anthropomorphize…”
Get full text

Masker design for real-time informational masking with mitigated annoyance by Hioka, Yusuke, James, Jesin, Watson, Catherine I.

“…An alternative design of masker for real-time speech masking is proposed. Time-reversed speech, which is also adopted in the proposed design, has been commonly…”
Get full text

Performance evaluation of speech masking design among listeners with varying language backgrounds by Masuda, Hinako, Hioka, Yusuke, Hui, C.T. Justine, James, Jesin, Watson, Catherine I.

“…•Six types of background noise were used as maskers: Pink, Babble, Time-reversed speech with randomly re-ordered frames (T-rev), T-rev with artificial…”
Get full text

The development of a labelled te reo Māori–English bilingual database for language technology by James, Jesin, Shields, Isabella, Yogarajan, Vithya, Keegan, Peter J., Watson, Catherine I., Jones, Peter-Lucas, Mahelona, Keoni

Get full text

Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification by James, Jesin, T, Balamurali B, Abeysinghe, Binu, Liu, Junchen

“…This study investigates discriminative patterns learned by neural networks for accurate speech classification, with a specific focus on vowel classification…”
Get full text

Advocating Character Error Rate for Multilingual ASR Evaluation by K, Thennal D, James, Jesin, Gopinath, Deepa P, K, Muhammed Ashraf

“…Automatic speech recognition (ASR) systems have traditionally been evaluated using English datasets, with the word error rate (WER) serving as the predominant…”
Get full text

Visualising Model Training via Vowel Space for Text-To-Speech Systems by Abeysinghe, Binu, James, Jesin, Watson, Catherine I, Marattukalam, Felix

“…With the recent developments in speech synthesis via machine learning, this study explores incorporating linguistics knowledge to visualise and evaluate…”
Get full text

The Development of a Labelled te reo M\=aori-English Bilingual Database for Language Technology by James, Jesin, Shields, Isabella, Yogarajan, Vithya, Keegan, Peter J, Watson, Catherine, Jones, Peter-Lucas, Mahelona, Keoni

“…Te reo M\=aori (referred to as M\=aori), New Zealand's indigenous language, is under-resourced in language technology. M\=aori speakers are bilingual, where…”
Get full text

Modeling pause duration for Malayalam language TTS by James, Jesin, Gopinath, Deepa P.

“…Synthesized speech output from a Text To Speech (TTS) synthesis system requires the inclusion of prosodic features like pause durations, syllable prolongations…”
Get full text

Pause duration model for Malayalam TTS by James, Jesin, Gopinath, Deepa P.

“…In this paper a CART-based pause duration prediction model has been developed for Malayalam language. Prosodic features like pause durations, syllable…”
Get full text

Intelligent track cleaning robot by James, Jesin, Wilson, Jesse, Jetto, Jovna, Thomas, Alna, Dhahabiya, V. K.

“…From the times of the British raj to this date, scavenging rail tracks has been a puzzling social issue. The fact that humans have to clean human waste and…”
Get full text