| Soft-target training with ambiguous emotional utterances for dnn-based speech emotion classification A Ando, S Kobashikawa, H Kamiyama, R Masumura, Y Ijima, Y Aono 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 46 | 2018 |
| Neural dialogue context online end-of-turn detection R Masumura, T Tanaka, A Ando, R Ishii, R Higashinaka, Y Aono Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue …, 2018 | 35 | 2018 |
| Customer satisfaction estimation in contact center calls based on a hierarchical multi-task model A Ando, R Masumura, H Kamiyama, S Kobashikawa, Y Aono, T Toda IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 715-728, 2020 | 28 | 2020 |
| Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls. A Ando, R Masumura, H Kamiyama, S Kobashikawa, Y Aono INTERSPEECH, 1716-1720, 2017 | 28 | 2017 |
| Sequence-level consistency training for semi-supervised end-to-end automatic speech recognition R Masumura, M Ihori, A Takashima, T Moriya, A Ando, Y Shinohara ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 21 | 2020 |
| Interaction and Transition Model for Speech Emotion Recognition in Dialogue. R Zhang, A Ando, S Kobashikawa, Y Aono INTERSPEECH, 1094-1097, 2017 | 19 | 2017 |
| Speech Emotion Recognition Based on Multi-Label Emotion Existence Model. A Ando, R Masumura, H Kamiyama, S Kobashikawa, Y Aono INTERSPEECH, 2818-2822, 2019 | 18 | 2019 |
| Speech emotion recognition based on listener-dependent emotion perception models A Ando, T Mori, S Kobashikawa, T Toda APSIPA Transactions on Signal and Information Processing 10, e6, 2021 | 11 | 2021 |
| Role Play Dialogue Aware Language Models Based on Conditional Hierarchical Recurrent Encoder-Decoder. R Masumura, T Tanaka, A Ando, H Masataki, Y Aono INTERSPEECH, 1259-1263, 2018 | 9 | 2018 |
| Speech emotion recognition based on listener adaptive models A Ando, R Masumura, H Sato, T Moriya, T Ashihara, Y Ijima, T Toda ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| SimpleFlat: A simple whole-network pre-training approach for RNN transducer-based end-to-end speech recognition T Moriya, T Ashihara, T Tanaka, T Ochiai, H Sato, A Ando, Y Ijima, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| Speaker age estimation using age-dependent insensitive loss Y Kitagishi, H Kamiyama, A Ando, N Tawara, T Mori, S Kobashikawa 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 8 | 2020 |
| On the use of modality-specific large-scale pre-trained encoders for multimodal sentiment analysis A Ando, R Masumura, A Takashima, S Suzuki, N Makishima, K Suzuki, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 739-746, 2023 | 7 | 2023 |
| Phoneme Duration Modeling Using Speech Rhythm-Based Speaker Embeddings for Multi-Speaker Speech Synthesis. K Fujita, A Ando, Y Ijima Interspeech, 3141-3145, 2021 | 7 | 2021 |
| Streaming End-to-End Speech Recognition for Hybrid RNN-T/Attention Architecture. T Moriya, T Tanaka, T Ashihara, T Ochiai, H Sato, A Ando, R Masumura, ... Interspeech, 1787-1791, 2021 | 7 | 2021 |
| Improving speech-based end-of-turn detection via cross-modal representation learning with punctuated text data R Masumura, M Ihori, T Tanaka, A Ando, R Ishii, T Oba, R Higashinaka 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 7 | 2019 |
| 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 |
| Does the lombard effect improve emotional communication in noise?-analysis of emotional speech acted in noise Y Zhao, A Ando, S Takaki, J Yamagishi, S Kobashikawa arXiv preprint arXiv:1903.12316, 2019 | 6 | 2019 |
| Self-training data selection apparatus, estimation model learning apparatus, self-training data selection method, estimation model learning method, and program A Ando, H Kamiyama, S Kobashikawa US Patent App. 17/048,041, 2021 | 5 | 2021 |
| Improving Conversation-Context Language Models with Multiple Spoken Language Understanding Models. R Masumura, T Tanaka, A Ando, H Kamiyama, T Oba, S Kobashikawa, ... INTERSPEECH, 834-838, 2019 | 5 | 2019 |
