3 papers
eess.AS2026
Phoneme-Guided Initialization for LLM-based Speech Recognition
Ryo Magoshi, Shinsuke Sakai, Tatsuya Kawahara
Speech large language models (speech LLMs) perform well on automatic speech recognition (ASR) when sufficient paired speech-text data is available, but their performance degrades i…
cs.SD2026
Improving Zero-Shot Phonetic Classification through Language-Agnostic Articulatory Features
Ryo Magoshi, Jaeyoung Lee, Shinsuke Sakai +1
Recent Phonetic Foundation Models (PFMs) for Speech-to-IPA transcription rely on Grapheme-to-Phoneme (G2P) labels, but the phoneme labels are not necessarily phonetically faithful.…
cs.SD2026
Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR
Ryo Magoshi, Takashi Maekaku, Yusuke Shinohara
LLM-based automatic speech recognition models demonstrate strong performance by connecting audio encoders and LLMs. However, data scarcity of paired speech and transcription often…