1 citations · 1 across the 5 of their papers we have counts for
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Group Relative Policy Optimization for Text-to-Speech with Large Language Models
Chang Liu, Ya-Jun Hu, Ying-Ying Gao +2
This paper proposes a GRPO-based approach to enhance the performance of large language model (LLM)-based text-to-speech (TTS) models by deriving rewards from an off-the-shelf autom…
Variational Low-Rank Adaptation for Personalized Impaired Speech Recognition
Niclas Pokel, Pehuén Moure, Roman Boehringer +2
Speech impairments resulting from congenital disorders, such as cerebral palsy, down syndrome, or apert syndrome, as well as acquired brain injuries due to stroke, traumatic accide…
Data-Efficient ASR Personalization for Non-Normative Speech Using an Uncertainty-Based Phoneme Difficulty Score for Guided Sampling
Niclas Pokel, Pehuén Moure, Roman Böhringer +1
ASR systems struggle with non-normative speech due to high acoustic variability and data scarcity. We propose a data-efficient method using phoneme-level uncertainty to guide fine-…