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Takeshi Homma
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2020 – today
- 2022
- [c11]Naokazu Uchida, Takeshi Homma, Makoto Iwayama, Yasuhiro Sogawa:
Reducing Offensive Replies in Open Domain Dialogue Systems. INTERSPEECH 2022: 1076-1080 - [c10]Natsuo Yamashita, Shota Horiguchi, Takeshi Homma:
Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization. Odyssey 2022: 133-140 - [c9]Amalia Istiqlali Adiba, Takeshi Homma, Yasuhiro Sogawa:
Unsupervised Domain Adaptation on Question-Answering System with Conversation Data. SIGDIAL 2022: 432-441 - [i3]Natsuo Yamashita, Shota Horiguchi, Takeshi Homma:
Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization. CoRR abs/2204.11232 (2022) - 2021
- [c8]Amalia Istiqlali Adiba, Takeshi Homma, Toshinori Miyoshi:
Towards Immediate Backchannel Generation Using Attention-Based Early Prediction Model. ICASSP 2021: 7408-7412 - [i2]Takeshi Homma, Qinghua Sun, Takuya Fujioka, Ryuta Takawaki, Eriko Ankyu, Kenji Nagamatsu, Daichi Sugawara, Etsuko T. Harada:
Emotional Speech Synthesis for Companion Robot to Imitate Professional Caregiver Speech. CoRR abs/2109.12787 (2021) - 2020
- [c7]Takuya Fujioka, Takeshi Homma, Kenji Nagamatsu:
Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels. INTERSPEECH 2020: 2332-2336 - [c6]Amalia Istiqlali Adiba, Takeshi Homma, Dario Bertero, Takashi Sumiyoshi, Kenji Nagamatsu:
Delay Mitigation for Backchannel Prediction in Spoken Dialog System. IWSDS 2020: 129-143
2010 – 2019
- 2019
- [j3]Kazuaki Shima, Takeshi Homma, Masataka Motohashi, Rintaro Ikeshita, Hiroaki Kokubo, Yasunari Obuchi, Jinhua She:
Efficient Corpus Creation Method for NLU Using Interview with Probing Questions. J. Adv. Comput. Intell. Intell. Informatics 23(5): 947-955 (2019) - [i1]Takuya Fujioka, Dario Bertero, Takeshi Homma, Kenji Nagamatsu:
Addressing Ambiguity of Emotion Labels Through Meta-Learning. CoRR abs/1911.02216 (2019) - 2018
- [j2]Takeshi Homma, Yasunari Obuchi, Kazuaki Shima, Rintaro Ikeshita, Hiroaki Kokubo, Takuya Matsumoto:
In-Vehicle Voice Interface with Improved Utterance Classification Accuracy Using Off-the-Shelf Cloud Speech Recognizer. IEICE Trans. Inf. Syst. 101-D(12): 3123-3137 (2018) - [c5]Takeshi Homma, Adriano S. Arantes, Maria Teresa Gonzalez Diaz, Masahito Togami:
Maximizing SLU Performance with Minimal Training Data Using Hybrid RNN Plus Rule-based Approach. SIGDIAL Conference 2018: 366-370 - 2016
- [c4]Yusuke Fujita, Ryoichi Takashima, Takeshi Homma, Masahito Togami:
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling. INTERSPEECH 2016: 3818-3822 - [c3]Takeshi Homma, Kazuaki Shima, Takuya Matsumoto:
Robust utterance classification using multiple classifiers in the presence of speech recognition errors. SLT 2016: 369-375 - 2015
- [c2]Yusuke Fujita, Ryoichi Takashima, Takeshi Homma, Rintaro Ikeshita, Yohei Kawaguchi, Takashi Sumiyoshi, Takashi Endo, Masahito Togami:
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. ASRU 2015: 416-422
2000 – 2009
- 2008
- [c1]Shuichi Ino, Takeshi Homma, Takashi Izumi:
Psychophysical Measurement of Multiple Tactile Sensations Using a Broadband Vibrotactile Display. ISUC 2008: 274-280 - 2003
- [j1]Takeshi Homma, Shuichi Ino, Takashi Izumi, Hayato Kuroki, Tohru Ifukube:
Measurement of Mechanical Characteristics of a Fingerpad Surface in the Design of a Tactile Display. J. Robotics Mechatronics 15(2): 153-163 (2003)
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