3 papers
eess.AS2026
Iterative Self-Learning for Expressive Text-to-Speech Synthesis
Nicholas Sanders, Gustav Eje Henter, Simon King +1
Expressive text-to-speech (TTS) systems that use explicit conditioning labels provide direct and interpretable control over expressive attributes, in contrast to reference-based or…
eess.AS2026
An Evaluation Framework for Text-to-Speech Voice Reconstruction
Ariadna Sanchez, Christoph Minixhofer, Korin Richmond +3
Voice reconstruction using Text-to-Speech (TTS) offers a communication method for people with speech disorders, which aims to retain their speaker identity while improving intellig…
eess.AS2025
Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information
Nicholas Sanders, Yuanchao Li, Korin Richmond +1
Quantization in SSL speech models (e.g., HuBERT) improves compression and performance in tasks like language modeling, resynthesis, and text-to-speech but often discards prosodic a…