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Naoya Takahashi
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2020 – today
- 2024
- [j8]Ryosuke Sawata
, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
The whole is greater than the sum of its parts: improving music source separation by bridging networks. EURASIP J. Audio Speech Music. Process. 2024(1): 39 (2024) - [i33]Mayank Kumar Singh, Naoya Takahashi, Wei-Hsiang Liao, Yuki Mitsufuji:
SilentCipher: Deep Audio Watermarking. CoRR abs/2406.03822 (2024) - [i32]Mayank Kumar Singh, Naoya Takahashi, Wei-Hsiang Liao, Yuki Mitsufuji:
LOCKEY: A Novel Approach to Model Authentication and Deepfake Tracking. CoRR abs/2409.07743 (2024) - 2023
- [c34]Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji:
Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP 2023: 1-5 - [c33]Nirmesh Shah, Mayank Kumar Singh, Naoya Takahashi, Naoyuki Onoe:
Nonparallel Emotional Voice Conversion for Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing. ICASSP 2023: 1-5 - [c32]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Hierarchical Diffusion Models for Singing Voice Neural Vocoder. ICASSP 2023: 1-5 - [c31]Naoya Takahashi, Ritsuka Gomi, Ayato Takii, Masashi Yamakawa, Shinichi Asao, Seiichi Takeuchi:
Numerical Simulation of the Octorotor Flying Car in Sudden Rotor Stop. ICCS (2) 2023: 33-46 - [c30]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. ICLR 2023 - [c29]Naoya Takahashi, Tatsuya Amano
Multi-Person Tracking Method Robust to Dynamic Viewport Changes for AR apps. IE 2023: 1-4 - [c28]Mayank Kumar Singh, Naoya Takahashi, Naoyuki Onoe:
Iteratively Improving Speech Recognition and Voice Conversion. INTERSPEECH 2023: 206-210 - [c27]Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Aleksander Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji:
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. NeurIPS 2023 - [d4]Archontis Politis
STARSS23: Sony-TAu Realistic Spatial Soundscapes 2023. Version 1.0.0. Zenodo, 2023 [all versions] - [d3]Archontis Politis
STARSS23: Sony-TAu Realistic Spatial Soundscapes 2023. Version 1.1.0. Zenodo, 2023 [all versions] - [i31]Nirmesh Shah, Mayank Kumar Singh, Naoya Takahashi, Naoyuki Onoe:
Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing. CoRR abs/2302.10536 (2023) - [i30]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Cross-modal Face- and Voice-style Transfer. CoRR abs/2302.13838 (2023) - [i29]Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation. CoRR abs/2305.07855 (2023) - [i28]Mayank Kumar Singh, Naoya Takahashi, Naoyuki Onoe:
Iteratively Improving Speech Recognition and Voice Conversion. CoRR abs/2305.15055 (2023) - [i27]Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. CoRR abs/2306.09126 (2023) - 2022
- [c26]Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen:
STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. DCASE 2022 - [c25]Naoya Takahashi, Yuki Mitsufuji:
Amicable Examples for Informed Source Separation. ICASSP 2022: 241-245 - [c24]Kazuki Shimada
Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training. ICASSP 2022: 316-320 - [c23]Naoya Takahashi, Yuki Mitsufuji:
Amicable Examples for Informed Source Separation. ICASSP 2022: 4368-4372 - [c22]Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi, Kazuki Shimada
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. ICASSP 2022: 8872-8876 - [c21]Shrutina Agarwal, Naoya Takahashi, Sriram Ganapathy:
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer. INTERSPEECH 2022: 3013-3017 - [d2]Adavanne Politis, Yuki Mitsufuji
STARSS22: Sony-TAu Realistic Spatial Soundscapes 2022 dataset. Version 1.0.0. Zenodo, 2022 [all versions] - [d1]Archontis Politis
STARSS22: Sony-TAu Realistic Spatial Soundscapes 2022 dataset. Version 1.1.0. Zenodo, 2022 [all versions] - [i26]Archontis Politis, Kazuki Shimada
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events. CoRR abs/2206.01948 (2022) - [i25]Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer. CoRR abs/2208.12410 (2022) - [i24]Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji:
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. CoRR abs/2210.05148 (2022) - [i23]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Hierarchical Diffusion Models for Singing Voice Neural Vocoder. CoRR abs/2210.07508 (2022) - [i22]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Robust One-Shot Singing Voice Conversion. CoRR abs/2210.11096 (2022) - [i21]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. CoRR abs/2212.07065 (2022) - 2021
- [c20]Naoya Takahashi, Yuki Mitsufuji:
Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks. CVPR 2021: 993-1002 - [c19]Sakya Basak, Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
End-to-End Lyrics Recognition with Voice to Singing Style Transfer. ICASSP 2021: 266-270 - [c18]Naoya Takahashi, Shota Inoue, Yuki Mitsufuji:
Adversarial Attacks on Audio Source Separation. ICASSP 2021: 521-525 - [c17]Kazuki Shimada
Accdoa: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And Detection. ICASSP 2021: 915-919 - [c16]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Hierarchical disentangled representation learning for singing voice conversion. IJCNN 2021: 1-7 - [i20]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Hierarchical disentangled representation learning for singing voice conversion. CoRR abs/2101.06842 (2021) - [i19]Sakya Basak, Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
End-to-end lyrics Recognition with Voice to Singing Style Transfer. CoRR abs/2102.08575 (2021) - [i18]Kazuki Shimada, Naoya Takahashi, Yuichiro Koyama, Shusuke Takahashi, Emiru Tsunoo, Masafumi Takahashi, Yuki Mitsufuji:
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection. CoRR abs/2106.10806 (2021) - [i17]Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Source Mixing and Separation Robust Audio Steganography. CoRR abs/2110.05054 (2021) - [i16]Naoya Takahashi, Yuki Mitsufuji:
Amicable examples for informed source separation. CoRR abs/2110.05059 (2021) - [i15]Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi, Kazuki Shimada, Naoya Takahashi, Emiru Tsunoo, Shusuke Takahashi, Yuki Mitsufuji:
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. CoRR abs/2110.06501 (2021) - [i14]Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Naoya Takahashi, Emiru Tsunoo, Yuki Mitsufuji:
Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training. CoRR abs/2110.07124 (2021) - 2020
- [c15]Naoya Takahashi, Yoshiki Matsui, Sotaro Sawa, Daichi Kawamoto, Mitsuru Shinagawa, Kohei Hamamura, Hiroshi Nakamura, Naohiro Shimizu, Masaya Sugino:
Electric Field Communication using a Wide Metal Plate as the Transmission Path. GCCE 2020: 735-738 - [c14]Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy
Improving Voice Separation by Incorporating End-To-End Speech Recognition. ICASSP 2020: 41-45 - [i13]Kazuki Shimada, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji:
Sound Event Localization and Detection Using Activity-Coupled Cartesian DOA Vector and RD3net. CoRR abs/2006.12014 (2020) - [i12]Naoya Takahashi, Yuki Mitsufuji:
D3Net: Densely connected multidilated DenseNet for music source separation. CoRR abs/2010.01733 (2020) - [i11]Naoya Takahashi, Shota Inoue, Yuki Mitsufuji:
Adversarial attacks on audio source separation. CoRR abs/2010.03164 (2020) - [i10]Kazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji:
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection. CoRR abs/2010.15306 (2020) - [i9]Naoya Takahashi, Yuki Mitsufuji:
Densely connected multidilated convolutional networks for dense prediction tasks. CoRR abs/2011.11844 (2020)
2010 – 2019
- 2019
- [c13]Takeshi Morita, Naoya Takahashi, Mizuki Kosuda, Takahira Yamaguchi:
A Teaching Assistant Robot Design Tool Based on Knowledge Chunks Reuse. COMPSAC (2) 2019: 68-73 - [c12]Takeshi Morita, Naoya Takahashi, Mizuki Kosuda, Takahira Yamaguchi:
A Knowledge Chunk Reuse Support Tool based on Heterogeneous Ontologies. KEOD 2019: 217-224 - [c11]Yoshiki Matsui, Kenta Nezu, Naoya Takahashi, Koki Yoshioka, Mitsuru Shinagawa, Kohei Hamamura, Hiroshi Nakamura, Naohiro Shimizu:
Electric Field Communication using a Car Body as a Transmission Medium. ICST 2019: 1-5 - [c10]Naoya Takahashi, Sudarsanam Parthasaarathy
Recursive Speech Separation for Unknown Number of Speakers. INTERSPEECH 2019: 1348-1352 - [i8]Naoya Takahashi, Sudarsanam Parthasaarathy, Nabarun Goswami, Yuki Mitsufuji:
Recursive speech separation for unknown number of speakers. CoRR abs/1904.03065 (2019) - [i7]Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy, Sriram Ganapathy, Yuki Mitsufuji:
Improving Voice Separation by Incorporating End-to-end Speech Recognition. CoRR abs/1911.12928 (2019) - 2018
- [j7]Takeshi Morita, Shunsuke Akashiba, Chihiro Nishimoto, Naoya Takahashi, Reiji Kukihara, Misae Kuwayama, Takahira Yamaguchi:
A Practical Teacher-Robot Collaboration Lesson Application Based on PRINTEPS. Rev. Socionetwork Strateg. 12(1): 97-126 (2018) - [j6]Naoya Takahashi
AENet: Learning Deep Audio Features for Video Analysis. IEEE Trans. Multim. 20(3): 513-524 (2018) - [c9]Naoya Takahashi, Purvi Agrawal, Nabarun Goswami
PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation. INTERSPEECH 2018: 2713-2717 - [c8]Naoya Takahashi, Nabarun Goswami
Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation. IWAENC 2018: 106-110 - [i6]Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji:
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation. CoRR abs/1805.02410 (2018) - 2017
- [c7]Stefan Uhlich, Marcello Porcu, Franck Giron, Michael Enenkl, Thomas Kemp, Naoya Takahashi, Yuki Mitsufuji:
Improving music source separation based on deep neural networks through data augmentation and network blending. ICASSP 2017: 261-265 - [c6]Shunsuke Akashiba, Chihiro Nishimoto, Naoya Takahashi, Takeshi Morita
Implementation of Teacher-Robot Collaboration Lesson Application in PRINTEPS. KES 2017: 2299-2308 - [c5]Naoya Takahashi, Yuki Mitsufuji:
Multi-Scale multi-band densenets for audio source separation. WASPAA 2017: 21-25 - [c4]Shunsuke Akashiba, Chihiro Nishimoto, Naoya Takahashi, Takeshi Morita
Development of applications for teaching assistant robots with teachers in PRINTEPS. WI 2017: 1184-1190 - [i5]Naoya Takahashi, Michael Gygli, Luc Van Gool:
AENet: Learning Deep Audio Features for Video Analysis. CoRR abs/1701.00599 (2017) - [i4]Naoya Takahashi, Yuki Mitsufuji:
Multi-scale Multi-band DenseNets for Audio Source Separation. CoRR abs/1706.09588 (2017) - 2016
- [c3]Naoya Takahashi, Tofigh Naghibi, Beat Pfister:
Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks. INTERSPEECH 2016: 1141-1145 - [c2]Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool:
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition. INTERSPEECH 2016: 2982-2986 - [i3]Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool:
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection. CoRR abs/1604.07160 (2016) - [i2]Naoya Takahashi, Tofigh Naghibi, Beat Pfister:
Automatic Pronunciation Generation by Utilizing a Semi-supervised Deep Neural Networks. CoRR abs/1606.05007 (2016) - [i1]Naoya Takahashi, Mitsuharu Matsumoto, Shuji Hashimoto:
Noise reduction combining microphone and piezoelectric device. CoRR abs/1611.03178 (2016) - 2014
- [j5]Minoru Nakayama
Chronological states of viewer's intentions using hidden Markov models and features of eye movement. EAI Endorsed Trans. Context aware Syst. Appl. 1(1): e5 (2014) - 2010
- [j4]Daisuke Ishikawa, Naoya Takahashi
Fluorescent pipettes for optically targeted patch-clamp recordings. Neural Networks 23(6): 669-672 (2010)
2000 – 2009
- 2007
- [c1]Naoya Takahashi, Mitsuharu Matsumoto, Shuji Hashimoto:
Electric Koto by vibrating Body. ICMC 2007
1990 – 1999
- 1995
- [j3]Tetsuhiko Fujii, Akira Yamamoto, Naoya Takahashi, Minoru Yoshida:
Masked Trnsferring Method of Discontinuous Sectors in Disk Cache System. IEICE Trans. Inf. Syst. 78-D(10): 1239-1247 (1995) - 1994
- [j2]Naoya Takahashi:
Performance improvement of jukebox-type optical disk file system. Syst. Comput. Jpn. 25(4): 13-21 (1994)
1980 – 1989
- 1987
- [j1]Naoya Takahashi, Masao Mukaidono:
Disjoint disjunctive form of boolean functions and its applications. Syst. Comput. Jpn. 18(11): 1-11 (1987)
Coauthor Index
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last updated on 2024-10-15 00:26 CEST by the dblp team
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