55 citations · 117 across the 27 of their papers we have counts for
5 papers · 1 filter
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Hang Ji, Tanvina Patel, Odette Scharenborg
In this work, we analyzed and compared speech representations extracted from different frozen self-supervised learning (SSL) speech pre-trained models on their ability to capture a…
Manipulation of oral cancer speech using neural articulatory synthesis
Bence Mark Halpern, Teja Rebernik, Thomas Tienkamp +5
We present an articulatory synthesis framework for the synthesis and manipulation of oral cancer speech for clinical decision making and alleviation of patient stress. Objective an…
Modelling word learning and recognition using visually grounded speech
Danny Merkx, Sebastiaan Scholten, Stefan L. Frank +2
Background: Computational models of speech recognition often assume that the set of target words is already given. This implies that these models do not learn to recognise speech f…
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition
Piotr Żelasko, Siyuan Feng, Laureano Moro Velazquez +5
The high cost of data acquisition makes Automatic Speech Recognition (ASR) model training problematic for most existing languages, including languages that do not even have a writt…
The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition
Luke Prananta, Bence Mark Halpern, Siyuan Feng +1
In this paper, we investigate several existing and a new state-of-the-art generative adversarial network-based (GAN) voice conversion method for enhancing dysarthric speech for imp…