Kohei Matsuura

According to our database1, Kohei Matsuura authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over.
CoRR, 2024

What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Leveraging Language Embeddings for Cross-Lingual Self-Supervised Speech Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Scheduled Sampling for Neural Transducer-Based ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Large Text Corpora For End-To-End Speech Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Summarization of Long Spoken Document: Improving Memory Efficiency of Speech/Text Encoders.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Summarize While Translating: Universal Model With Parallel Decoding for Summarization and Translation.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Domain Adversarial Self-Supervised Speech Representation Learning for Improving Unknown Domain Downstream Tasks.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Hybrid RNN-T/Attention-Based Streaming ASR with Triggered Chunkwise Attention and Dual Internal Language Model Integration.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Generative Adversarial Training Data Adaptation for Very Low-Resource Automatic Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020


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