| Deep versus wide: An analysis of student architectures for task-agnostic knowledge distillation of self-supervised speech models T Ashihara, T Moriya, K Matsuura, T Tanaka arXiv preprint arXiv:2207.06867, 2022 | 22 | 2022 |
| Speech corpus of Ainu folklore and end-to-end speech recognition for Ainu language K Matsuura, S Ueno, M Mimura, S Sakai, T Kawahara LREC 2020, 2020 | 20 | 2020 |
| Generative adversarial training data adaptation for very low-resource automatic speech recognition K Matsuura, M Mimura, S Sakai, T Kawahara Interspeech 2020, 2020 | 11 | 2020 |
| Leveraging Large Text Corpora for End-to-End Speech Summarization K Matsuura, T Ashihara, T Moriya, T Tanaka, A Ogawa, M Delcroix, ... ICASSP 2023, 2023 | 8 | 2023 |
| Hybrid RNN-T/Attention-based streaming ASR with triggered chunkwise attention and dual internal language model integration T Moriya, T Ashihara, A Ando, H Sato, T Tanaka, K Matsuura, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge? T Ashihara, T Moriya, K Matsuura, T Tanaka, Y Ijima, T Asami, M Delcroix, ... arXiv preprint arXiv:2306.08374, 2023 | 4 | 2023 |
| Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization K Matsuura, T Ashihara, T Moriya, T Tanaka, T Kano, A Ogawa, ... Interspeech 2023, 2023 | 3 | 2023 |
| Improving Scheduled Sampling for Neural Transducer-Based ASR T Moriya, T Ashihara, H Sato, K Matsuura, T Tanaka, R Masumura ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models T Ashihara, T Moriya, K Matsuura, T Tanaka ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Domain Adversarial Self-Supervised Speech Representation Learning for Improving Unknown Domain Downstream Tasks. T Tanaka, R Masumura, H Sato, M Ihori, K Matsuura, T Ashihara, T Moriya INTERSPEECH, 1066-1070, 2022 | 2 | 2022 |
| Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data T Moriya, H Sato, T Ochiai, M Delcroix, T Ashihara, K Matsuura, T Tanaka, ... arXiv preprint arXiv:2305.15971, 2023 | 1 | 2023 |
| NTT Multi-Speaker ASR System for the DASR Task of CHiME-7 Challenge N Kamo, N Tawara, K Matsuura, T Ashihara, T Moriya, A Ogawa, H Sato, ... Proc. CHiME 2023, 45-50, 2023 | 1 | 2023 |
| What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis T Ashihara, M Delcroix, T Moriya, K Matsuura, T Asami, Y Ijima arXiv preprint arXiv:2401.17632, 2024 | | 2024 |
| Summarize While Translating: Universal Model With Parallel Decoding for Summarization and Translation T Kano, A Ogawa, M Delcroix, K Matsuura, T Ashihara, W Chen, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | | 2023 |
| Leveraging Language Embeddings for Cross-Lingual Self-Supervised Speech Representation Learning T Tanaka, R Masumura, M Ihori, H Sato, T Yamane, T Ashihara, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| A Study on Scheduled Sampling for Neural Transducer-based ASR T Moriya, T Ashihara, H Sato, K Matsuura, T Tanaka, R Masumura IEICE Technical Report; IEICE Tech. Rep. 122 (389), 147-152, 2023 | | 2023 |
| A Study on Hybrid RNN-T/Attention-based Streaming ASR with Triggered Chunkwise Attention and Dual Internal Language Model Integration T Moriya, T Ashihara, A Ando, H Sato, T Tanaka, K Matsuura, ... IEICE Technical Report; IEICE Tech. Rep. 121 (385), 90-95, 2022 | | 2022 |
| アイヌ民話アーカイブに対する音声認識 松浦孝平， 三村正人， 河原達也 自然言語処理 28 (3), 824-846, 2021 | | 2021 |
Takanori AshiharaNTTE-mail confirmado em ntt.com
