1 citations · 1 across the 1 of their papers we have counts for
3 papers
Confidence-Guided Error Correction for Disordered Speech Recognition
Abner Hernandez, Tomás Arias Vergara, Andreas Maier +1
We investigate the use of large language models (LLMs) as post-processing modules for automatic speech recognition (ASR), focusing on their ability to perform error correction for…
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages
Chin-Jou Li, Eunjung Yeo, Kwanghee Choi +7
Automatic speech recognition (ASR) for dysarthric speech remains challenging due to data scarcity, particularly in non-English languages. To address this, we fine-tune a voice conv…
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices
Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa +3
Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models. However, the issue of privacy protection is an in…