Akihiko Takashima

According to our database1, Akihiko Takashima authored at least 27 papers between 2020 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
End-to-End Joint Target and Non-Target Speakers ASR.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Open-Set Recognition for Facial-Expression Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

Distilling Knowledge of Bidirectional Language Model for Scene Text Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

Text-to-Text Pre-Training with Paraphrasing for Improving Transformer-Based Image Captioning.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations.
CoRR, 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

Interactive Co-Learning with Cross-Modal Transformer for Audio-Visual Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

End-to-End Joint Modeling of Conversation History-Dependent and Independent ASR Systems with Multi-History Training.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Fully Shareable Scene Text Recognition Modeling for Horizontal and Vertical Writing.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Large-Context Conversational Representation Learning: Self-Supervised Learning For Conversational Documents.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Utilizing Resource-Rich Language Datasets for End-to-End Scene Text Recognition in Resource-Poor Languages.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

End-to-End Rich Transcription-Style Automatic Speech Recognition with Semi-Supervised Learning.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Enrollment-Less Training for Personalized Voice Activity Detection.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks Using Switching Tokens.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Hierarchical Transformer-Based Large-Context End-To-End ASR with Large-Context Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss.
Proceedings of the IEEE International Conference on Acoustics, 2021

MAPGN: Masked Pointer-Generator Network for Sequence-to-Sequence Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

Hierarchical Knowledge Distillation for Dialogue Sequence Labeling.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Parallel Corpus for Japanese Spoken-to-Written Style Conversion.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Phoneme-to-Grapheme Conversion Based Large-Scale Pre-Training for End-to-End Automatic Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Memory Attentive Fusion: External Language Model Integration for Transformer-based Sequence-to-Sequence Model.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Sequence-Level Consistency Training for Semi-Supervised End-to-End Automatic Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Large-Context Pointer-Generator Networks for Spoken-to-Written Style Conversion.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Domain Adversarial Training in Angular Space for Facial Expression Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

End-to-End Automatic Speech Recognition with Deep Mutual Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020


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