3 papers
cs.CL2026
F-Actor: Controllable Conversational Behaviour in Full-Duplex Models
Maike Züfle, Ondrej Klejch, Nicholas Sanders +3
Spoken conversational systems require more than accurate speech generation to have human-like conversations: to feel natural and engaging, they must produce conversational behaviou…
cs.SD2026
CodecMOS-Accent: A MOS Benchmark of Resynthesized and TTS Speech from Neural Codecs Across English Accents
Wen-Chin Huang, Nicholas Sanders, Erica Cooper
We present the CodecMOS-Accent dataset, a mean opinion score (MOS) benchmark designed to evaluate neural audio codec (NAC) models and the large language model (LLM)-based text-to-s…
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…