Conference Paper

Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech

A novel approach to detect sarcasm in speech using deep convolutional neural networks and transfer learning techniques.

Sep 18, 2022

Frisian Text-to-Speech Using Cross-Lingual Transfer Learning: An Experiment with 5 Source Languages

An investigation into cross-lingual transfer learning for Frisian text-to-speech using five different source languages.

Sep 14, 2022

Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning

Novel approaches to text-to-speech systems for under-resourced languages.

Jun 1, 2022

Interpretation of Prosodically Marked Focus in Cochlear Implant-Simulated Speech by Non-Native Listeners

Investigation of how cochlear implant simulations affect non-native listeners' interpretation of prosodic focus.

Jun 1, 2022

Non-native listeners' interpretation of prosodically marked focus in cochlear implant-simulated speech

Research on how non-native listeners process focus marking in cochlear implant-simulated speech.

Apr 20, 2022

Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning
Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning

Novel approaches to text-to-speech systems for under-resourced languages.

Jan 1, 2022

Evolving plasticity for autonomous learning under changing environmental conditions

This research discovers interpretable Hebbian learning rules for artificial neural networks that enable autonomous learning in changing environments through genetic algorithms.

Sep 1, 2021

A systematic review and analysis of multilingual data strategies in text-to-speech for low-resource languages

This paper provides a systematic review of multilingual data strategies for text-to-speech in low-resource languages, introducing a novel Multilingual Model Effect (MLME) measure.

Aug 30, 2021

More than Words: Cross-Linguistic Exploration of Parkinson's Disease Identification from Speech

This study examines how language background and expertise influence perception of speech from people with Parkinson's Disease, finding that both phonetic expertise and language familiarity significantly impact identification accuracy.

Sep 29, 2020

How Dysarthric Prosody Impacts Naïve Listeners' Recognition

This study examines how accurately naïve listeners can recognize stress and intonation patterns in dysarthric speech from patients with different neurological disorders.

Aug 20, 2019