17 citations · 60 across the 28 of their papers we have counts for
4 papers · 1 filter
Evaluating and reducing the distance between synthetic and real speech distributions
Christoph Minixhofer, Ondřej Klejch, Peter Bell
While modern Text-to-Speech (TTS) systems can produce natural-sounding speech, they remain unable to reproduce the full diversity found in natural speech data. We consider the dist…
Multimodal Dyadic Impression Recognition via Listener Adaptive Cross-Domain Fusion
Yuanchao Li, Peter Bell, Catherine Lai
As a sub-branch of affective computing, impression recognition, e.g., perception of speaker characteristics such as warmth or competence, is potentially a critical part of both hum…
Exploration of A Self-Supervised Speech Model: A Study on Emotional Corpora
Yuanchao Li, Yumnah Mohamied, Peter Bell +1
Self-supervised speech models have grown fast during the past few years and have proven feasible for use in various downstream tasks. Some recent work has started to look at the ch…
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR
Georgios Karakasidis, Tamás Grósz, Mikko Kurimo
It is common knowledge that the quantity and quality of the training data play a significant role in the creation of a good machine learning model. In this paper, we take it one st…