Naoki Makishima

According to our database, Naoki Makishima authored at least 28 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

End-to-End Joint Target and Non-Target Speakers ASR.

Ryo Masumura, Naoki Makishima, Taiga Yamane, Yoshihiko Yamazaki, Saki Mizuno, Mana Ihori, Mihiro Uchida, Keita Suzuki, Hiroshi Sato, Tomohiro Tanaka, Akihiko Takashima, Satoshi Suzuki, Takafumi Moriya, Nobukatsu Hojo, Atsushi Ando

CoRR, 2023

Multi-region CNN-Transformer for Micro-gesture Recognition in Face and Upper Body.

Keita Suzuki, Satoshi Suzuki, Ryo Masumura, Atsushi Ando, Naoki Makishima

Proceedings of the ACM Multimedia Asia 2023, 2023

OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework.

Satoshi Suzuki, Taiga Yamane, Naoki Makishima, Keita Suzuki, Atsushi Ando, Ryo Masumura

Proceedings of the IEEE International Conference on Image Processing, 2023

Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff.

Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Text-to-Text Pre-Training with Paraphrasing for Improving Transformer-Based Image Captioning.

Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations.

Satoshi Suzuki, Shoichiro Takeda, Naoki Makishima, Atsushi Ando, Ryo Masumura, Hayaru Shouno

IEEE Access, 2022

On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis.

Atsushi Ando, Ryo Masumura, Akihiko Takashima, Satoshi Suzuki, Naoki Makishima, Keita Suzuki, Takafumi Moriya, Takanori Ashihara, Hiroshi Sato

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Strategies to Improve Robustness of Target Speech Extraction to Enrollment Variations.

Hiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Takafumi Moriya, Naoki Makishima, Mana Ihori, Tomohiro Tanaka, Ryo Masumura

Proceedings of the Interspeech 2022, 2022

End-to-End Joint Modeling of Conversation History-Dependent and Independent ASR Systems with Multi-History Training.

Ryo Masumura, Yoshihiro Yamazaki, Saki Mizuno, Naoki Makishima, Mana Ihori, Mihiro Uchida, Hiroshi Sato, Tomohiro Tanaka, Akihiko Takashima, Satoshi Suzuki, Shota Orihashi, Takafumi Moriya, Nobukatsu Hojo, Atsushi Ando

Proceedings of the Interspeech 2022, 2022

Speaker consistency loss and step-wise optimization for semi-supervised joint training of TTS and ASR using unpaired text data.

Naoki Makishima, Satoshi Suzuki, Atsushi Ando, Ryo Masumura

Proceedings of the Interspeech 2022, 2022

Customer Satisfaction Estimation Using Unsupervised Representation Learning with Multi-Format Prediction Loss.

Atsushi Ando, Yumiko Murata, Ryo Masumura, Satoshi Suzuki, Naoki Makishima, Takafumi Moriya, Takanori Ashihara, Hiroshi Sato

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix.

Naoki Makishima, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

Signal Process., 2021

Large-Context Conversational Representation Learning: Self-Supervised Learning For Conversational Documents.

Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi

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.

Shota Orihashi, Yoshihiro Yamazaki, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura

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.

Tomohiro Tanaka, Ryo Masumura, Mana Ihori, Akihiko Takashima, Shota Orihashi, Naoki Makishima

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition.

Tomohiro Tanaka, Ryo Masumura, Mana Ihori, Akihiko Takashima, Takafumi Moriya, Takanori Ashihara, Shota Orihashi, Naoki Makishima

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation.

Ryo Masumura, Daiki Okamura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Enrollment-Less Training for Personalized Voice Activity Detection.

Naoki Makishima, Mana Ihori, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks Using Switching Tokens.

Mana Ihori, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Hierarchical Transformer-Based Large-Context End-To-End ASR with Large-Context Knowledge Distillation.

Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi

Proceedings of the IEEE International Conference on Acoustics, 2021

Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss.

Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura

Proceedings of the IEEE International Conference on Acoustics, 2021

MAPGN: Masked Pointer-Generator Network for Sequence-to-Sequence Pre-Training.

Mana Ihori, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura

Proceedings of the IEEE International Conference on Acoustics, 2021

Hierarchical Knowledge Distillation for Dialogue Sequence Labeling.

Shota Orihashi, Yoshihiro Yamazaki, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Phoneme-to-Grapheme Conversion Based Large-Scale Pre-Training for End-to-End Automatic Speech Recognition.

Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi

Proceedings of the Interspeech 2020, 2020

Memory Attentive Fusion: External Language Model Integration for Transformer-based Sequence-to-Sequence Model.

Mana Ihori, Ryo Masumura, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi

Proceedings of the 13th International Conference on Natural Language Generation, 2020

Unsupervised Domain Adversarial Training in Angular Space for Facial Expression Recognition.

Akihiko Takashima, Naoki Makishima, Mana Ihori, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation.

Naoki Makishima, Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hayato Sumino, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Robust Demixing Filter Update Algorithm Based on Microphone-wise Coordinate Descent for Independent Deeply Learned Matrix Analysis.

Naoki Makishima, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019