2 citations · 2 across the 3 of their papers we have counts for
3 papers
Robust ASR Error Correction with Conservative Data Filtering
Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka +1
Error correction (EC) based on large language models is an emerging technology to enhance the performance of automatic speech recognition (ASR) systems. Generally, training data fo…
INDUS: Effective and Efficient Language Models for Scientific Applications
Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka +33
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs tr…
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems
Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata +2
Transferring the knowledge of large language models (LLMs) is a promising technique to incorporate linguistic knowledge into end-to-end automatic speech recognition (ASR) systems.…