| AURORA-2J: An evaluation framework for Japanese noisy speech recognition S Nakamura, K Takeda, K Yamamoto, T Yamada, S Kuroiwa, N Kitaoka, ... IEICE transactions on information and systems 88 (3), 535-544, 2005 | 103 | 2005 |
| Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion BT Atmaja, A Sasou, M Akagi Speech Communication 140, 11-28, 2022 | 64 | 2022 |
| Noise robust speech recognition applied to voice-driven wheelchair A Sasou, H Kojima EURASIP Journal on Advances in Signal Processing 2009, 1-9, 2009 | 26 | 2009 |
| An auto-regressive, non-stationary excited signal parameter estimation method and an evaluation of a singing-voice recognition A Sasou, M Goto, S Hayamizu, K Tanaka Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 25 | 2005 |
| Acoustic head orientation estimation applied to powered wheelchair control A Sasou 2009 Second International Conference on Robot Communication and Coordination …, 2009 | 24 | 2009 |
| Sentiment analysis and emotion recognition from speech using universal speech representations BT Atmaja, A Sasou Sensors 22 (17), 6369, 2022 | 22 | 2022 |
| Evaluating self-supervised speech representations for speech emotion recognition BT Atmaja, A Sasou IEEE Access 10, 124396-124407, 2022 | 19 | 2022 |
| HMM-based noise-robust feature compensation A Sasou, F Asano, S Nakamura, K Tanaka Speech communication 48 (9), 1100-1111, 2006 | 14 | 2006 |
| HMM-based feature compensation method: an evaluation using the AURORA2. A Sasou, K Tanaka, S Nakamura, F Asano INTERSPEECH, 121-124, 2004 | 13 | 2004 |
| Glottal excitation modeling using HMM with application to robust analysis of speech signal. A Sasou, K Tanaka Interspeech, 704-707, 2000 | 13 | 2000 |
| Effects of data augmentations on speech emotion recognition BT Atmaja, A Sasou Sensors 22 (16), 5941, 2022 | 12 | 2022 |
| Speech emotion and naturalness recognitions with multitask and single-task learnings BT Atmaja, A Sasou, M Akagi IEEE Access 10, 72381-72387, 2022 | 12 | 2022 |
| Automatic identification of pathological voice quality based on the GRBAS categorization A Sasou 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 11 | 2017 |
| Head-orientation-estimation-integrated speech recognition for the smart-chair A Sasou 2008 Second International Symposium on Universal Communication, 482-489, 2008 | 9 | 2008 |
| CENSREC-3: Data Collection for In-Car Speech Recognition and Its Common Evaluation Framework. M Fujimoto, S Nakamura, T Endo, K Takeda, C Miyajima, S Kuroiwa, ... ICDE Workshops, 1208, 2005 | 9 | 2005 |
| Jointly predicting emotion, age, and country using pre-trained acoustic embedding BT Atmaja, A Sasou 2022 10th International Conference on Affective Computing and Intelligent …, 2022 | 8 | 2022 |
| Singing voice recognition considering high-pitched and prolonged sounds A Sasou 2006 14th European Signal Processing Conference, 1-4, 2006 | 6 | 2006 |
| Subadaptive piecewise linear quantization for speech signal (64 kbit/s) compression H Saito, I Umoto, A Sasou, S Nakamura, Y Horio, T Kubota IEEE transactions on speech and audio processing 4 (5), 379-382, 1996 | 6 | 1996 |
| Deep residual learning with dilated causal convolution extreme learning machine A Sasou IEEE Access 9, 165708-165718, 2021 | 5 | 2021 |
| Glottal inverse filtering by combining a constrained LP and an HMM-based generative model of glottal flow derivative A Sasou Speech Communication 104, 113-128, 2018 | 5 | 2018 |
