Speech-to-singing synthesis: Converting speaking voices to singing voices by controlling acoustic features unique to singing voices T Saitou, M Goto, M Unoki, M Akagi 2007 IEEE Workshop on Applications of Signal Processing to Audio and …, 2007 | 135 | 2007 |
Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis T Saitou, M Unoki, M Akagi Speech communication 46 (3-4), 405-417, 2005 | 128 | 2005 |
Comparison of the roex and gammachirp filters as representations of the auditory filter M Unoki, T Irino, B Glasberg, BCJ Moore, RD Patterson The Journal of the Acoustical Society of America 120 (3), 1474-1492, 2006 | 114 | 2006 |
Extending the domain of center frequencies for the compressive gammachirp auditory filter RD Patterson, M Unoki, T Irino The Journal of the Acoustical Society of America 114 (3), 1529-1542, 2003 | 105 | 2003 |
A method of signal extraction from noisy signal based on auditory scene analysis M Unoki, M Akagi Speech Communication 27 (3-4), 261-279, 1999 | 82 | 1999 |
Speech emotion recognition using 3d convolutions and attention-based sliding recurrent networks with auditory front-ends Z Peng, X Li, Z Zhu, M Unoki, J Dang, M Akagi IEEE Access 8, 16560-16572, 2020 | 77 | 2020 |
An analysis/synthesis auditory filterbank based on an IIR implementation of the gammachirp T Irino, M Unoki Journal of the Acoustical Society of Japan (E) 20 (6), 397-406, 1999 | 72 | 1999 |
Method of digital-audio watermarking based on cochlear delay characteristics M Unoki, R Miyauchi Multimedia Information Hiding Technologies and Methodologies for Controlling …, 2013 | 52 | 2013 |
Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech Z Peng, J Dang, M Unoki, M Akagi Neural Networks 140, 261-273, 2021 | 47 | 2021 |
An improved method based on the MTF concept for restoring the power envelope from a reverberant signal M Unoki, M Furukawa, K Sakata, M Akagi Acoustical science and technology 25 (4), 232-242, 2004 | 45 | 2004 |
A speech dereverberation method based on the MTF concept in power envelope restoration M Unoki, K Sakata, M Furukawa, M Akagi Acoustical science and technology 25 (4), 243-254, 2004 | 45 | 2004 |
Reversible watermarking for digital audio based on cochlear delay characteristics M Unoki, R Miyauchi 2011 Seventh International Conference on Intelligent Information Hiding and …, 2011 | 38 | 2011 |
A survey of audio classification using deep learning K Zaman, M Sah, C Direkoglu, M Unoki IEEE Access, 2023 | 37 | 2023 |
Embedding Limitations with Digital-audio Watermarking Method Based on Cochlear Delay Characteristics. M Unoki, K Imabeppu, D Hamada, A Haniu, R Miyauchi J. Inf. Hiding Multim. Signal Process. 2 (1), 1-23, 2011 | 37 | 2011 |
A time-varying, analysis/synthesis auditory filterbank using the gammachirp T Irino, M Unoki Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 36 | 1998 |
A method based on the MTF concept for dereverberating the power envelope from the reverberant signal M Unoki, M Furukawa, K Sakata, M Akagi 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 35 | 2003 |
歌声らしさの知覚モデルに基づいた歌声特有の音響特徴量の分析 齋藤毅, 辻直也, 鵜木祐史, 赤木正人 日本音響学会誌 64 (5), 267-277, 2008 | 32 | 2008 |
X-Vector Singular Value Modification and Statistical-Based Decomposition with Ensemble Regression Modeling for Speaker Anonymization System. CO Mawalim, K Galajit, J Karnjana, M Unoki Interspeech, 1703-1707, 2020 | 31 | 2020 |
Contributions of temporal cue on the perception of speaker individuality and vocal emotion for noise-vocoded speech Z Zhu, R Miyauchi, Y Araki, M Unoki Acoustical Science and Technology 39 (3), 234-242, 2018 | 31 | 2018 |
Modulation Spectral Features for Predicting Vocal Emotion Recognition by Simulated Cochlear Implants. Z Zhu, R Miyauchi, Y Araki, M Unoki INTERSPEECH, 262-266, 2016 | 31 | 2016 |