Takanori Ashihara
According to our database1,
Takanori Ashihara
authored at least 27 papers
between 2019 and 2024.
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Bibliography
2024
What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis.
CoRR, 2024
Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters.
CoRR, 2024
2023
CoRR, 2023
Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization.
CoRR, 2023
Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss.
CoRR, 2023
Leveraging Language Embeddings for Cross-Lingual Self-Supervised Speech Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model.
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
On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Domain Adversarial Self-Supervised Speech Representation Learning for Improving Unknown Domain Downstream Tasks.
Proceedings of the Interspeech 2022, 2022
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models.
Proceedings of the Interspeech 2022, 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
Customer Satisfaction Estimation Using Unsupervised Representation Learning with Multi-Format Prediction Loss.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Investigating the Impact of Spectral and Temporal Degradation on End-to-End Automatic Speech Recognition Performance.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2019
Proceedings of the Interspeech 2019, 2019
Revisiting Dynamic Adjustment of Language Model Scaling Factor for Automatic Speech Recognition.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019