発表文献

2024年度に発表された文献の一覧

学術論文誌

  1. M. Eshghi, T. Toda, "An investigation of fundamental frequency pattern prediction for Japanese eelectrolaryngeal speech enhancement based on frame-wise phoneme representations," IEEE Access, Vol. 12, pp. 50137-50153, Apr. 2024.
  2. L.P. Violeta, D. Ma, W.-C. Huang, T. Toda, "Pretraining and adaptation techniques for electrolaryngeal speech recognition," IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 32, pp. 2777-2789, May 2024.
  3. S.-w. Yang, H.-J. Chang, Z. Huang, A.T. Liu, C.-I Lai, H. Wu, J. Shi, X. Chang, H.-S. Tsai, W.-C. Huang, T.-h. Feng, P.-H. Chi, Y.Y. Lin, Y.-S. Chuang, T.-H. Huang, W.-C. Tseng, K. Lakhotia, S.-W. Li, A. Mohamed, S. Watanabe, H.-y. Lee, "A large-scale evaluation of speech foundation models," IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 32, pp. 2884-2899, Apr. 2024.
  4. S. Luan, Y. Wakabayashi, T. Toda, "Unequally spaced sound field interpolation for rotation-robust beamforming," IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 32, pp. 3185-3199, June 2024.
  5. F. Li, F. Shen, D. Ma, J. Zhou, S. Zhang, L. Wang, F. Fan, T. Liu, X. Chen, T. Toda, H. Niu, "End-to-end Mandarin speech reconstruction based on ultrasound tongue images using deep learning," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 33, pp. 140-149, Dec. 2024.
  6. I. Kuroyanagi, T. Hayashi, K. Takeda, T. Toda, "Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training," APSIPA Transactions on Signal and Information Processing, Vol. 14, No. 1, e1, pp. 1-32, Jan. 2025.
  7. R. Wang, T. Fujimura, T. Toda, "Target speaker extraction under noisy underdetermined conditions using conditional variational autoencoder, global style token, and neural postfilter," APSIPA Transactions on Signal and Information Processing, Vol. 14, No. 1, e2, pp. 1-26, Jan. 2025.
  8. S. Chen, T. Toda, "Sequence-wise speech waveform modeling via gradient descent optimization of quasi-harmonic parameters," IEEE Transactions on Audio, Speech and Language Processing, Vol. 33, pp. 319-332, Jan. 2025.
  9. D. Yoshioka, Y. Yasuda, T. Toda, "Nonparallel spoken-text-style transfer for linguistic expression control in speech generation," IEEE Transactions on Audio, Speech and Language Processing, Vol. 33, pp. 333-346, Jan. 2025.
　

レター

  1. W.-C. Huang, Y.-C. Wu, T. Toda, "Multi-speaker text-to-speech training with speaker anonymized data," IEEE Signal Processing Letters, Vol. 31, pp. 2995-2999, Oct. 2024.
　

国際会議

  1. T. Komatsu, Y. Fujita, K. Takeda, T. Toda, "Audio difference learning for audio captioning," IEEE ICASSP, pp. 1456-1460, Seoul, Korea, Apr. 2024.
  2. Y. Ohtani, T. Okamoto, T. Toda, H. Kawai, "FIRNET: fundamental frequency controllable fast neural vocoder with trainable finite impulse response filter," IEEE ICASSP, pp. 10871-10875, Seoul, Korea, Apr. 2024.
  3. L.P. Violeta, W.-C. Huang, D. Ma, R. Yamamoto, K. Kobayashi, T. Toda, "Electrolaryngeal speech intelligibility enhancement through robust linguistic encoders," IEEE ICASSP, pp. 10961-10965, Seoul, Korea, Apr. 2024.
  4. J. He, X. Shi, X. Li, T. Toda, "MF-AED-AEC: speech emotion recognition by leveraging multimodal fusion, ASR error detection, and ASR error correction," IEEE ICASSP, pp. 11066-11070, Seoul, Korea, Apr. 2024.
  5. T. Okamoto, Y. Ohtani, T. Toda, H. Kawai, "ConvNeXt-TTS and ConvNeXt-VC: ConvNeXt-based fast end-to-end sequence-to-sequence text-to-speech and voice conversion," IEEE ICASSP, pp. 12456-12460, Seoul, Korea, Apr. 2024.
  6. D. Ma, Y. Choi, F. Li, C. Xie, K. Kobayashi, T. Toda, "Robust sequence-to-sequence voice conversion for electrolaryngeal speech enhancement in noisy and reverberant conditions," Proc. IEEE EMBC, 4 pages, Orlando, USA, July 2024.
  7. F. Li, F. Shen, D. Ma, S. Zhang, J. Zhou, L. Wang, F. Fan, T. Liu, X. Chen, T. Toda, H. Niu, "Mandarin speech reconstruction from tongue motion ultrasound images based on generative adversarial networks," Proc. IEEE EMBC, 4 pages, Orlando, USA, July 2024.
  8. T. Fujimura, K. Imoto, T. Toda, "Discriminative neighborhood smoothing for generative anomalous sound detection," Proc. EUSIPCO, pp. 156-160, Lyon, France, Aug. 2024.
  9. J. Wang, T. Toda, "Unsupervised training of neural network-based virtual microphone estimator," Proc. EUSIPCO, pp. 256-260, Lyon, France, Aug. 2024.
  10. T. Okamoto, Y. Ohtani, S. Shimizu, T. Toda, H. Kawai, "Challenge of singing voice synthesis using only text-to-speech corpus with FIRNet Source-Filter Neural Vocoder," Proc. INTERSPEECH, pp. 1870-1874, Kos Island, Greece, Sep. 2024.
  11. C.-H. Hu, Y. Yasuda, T. Toda, "Embedding learning for preference-based speech quality assessment," Proc. INTERSPEECH, pp. 2685-2689, Kos Island, Greece, Sep. 2024.
  12. B. Halpern, T. Tienkamp, W.-C. Huang, L.P. Violeta, T. Rebernik, S. de Visscher, M.J.H. Witjes, M. Wieling, D. Abur, T. Toda, "Quantifying the effect of speech pathology on automatic and human speaker verification," Proc. INTERSPEECH, pp. 3015-3019, Kos Island, Greece, Sep. 2024.
  13. X. Shi, X. LI, T. Toda, "Multimodal fusion of music theory-inspired and self-supervised representations for improved emotion recognition," Proc. INTERSPEECH, pp. 3724-3728, Kos Island, Greece, Sep. 2024.
  14. S. Chen, T. Toda, "QHM-GAN: neural vocoder based on quasi-harmonic modeling," Proc. INTERSPEECH, pp. 3889-3893, Kos Island, Greece, Sep. 2024
  15. J. Feng, Y. Yasuda, T. Toda, "Exploring the robustness of text-to-speech synthesis based on diffusion probabilistic models to heavily noisy transcriptions," Proc. INTERSPEECH, pp. 4408-4412, Kos Island, Greece, Sep. 2024.
  16. Y. Zang, J. Shi, Y. Zhang, R. Yamamoto, J. Han, Y. Tang, S. Xu, W. Zhao, J. Guo, T. Toda, Z. Duan, "CtrSVDD: a benchmark dataset and baseline analysis for controlled singing voice deepfake detection," Proc. INTERSPEECH, pp. 4783-4787, Kos Island, Greece, Sep. 2024.
  17. J. He, T. Toda, "2DP-2MRC: 2-dimensional pointer-based machine reading comprehension method for multimodal moment retrieval," Proc. INTERSPEECH, pp. 5073-5077, Kos Island, Greece, Sep. 2024.【Shortlisted for the ISCA Best Student Paper Award 2024】
  18. Y. Zhang, Y. Zang, J. Shi, R. Yamamoto, T. Toda, Z. Duan, "SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge," Proc. IEEE SLT, pp. 792-797, Macau, China, Dec. 2024.
  19. W.-C. Huang, S.-W. Fu, E. Cooper, R. Zezario, T. Toda, H.-M. Wang, J. Yamagishi, Y. Tsao, "The VoiceMOS Challenge 2024: beyond speech quality prediction," Proc. IEEE SLT, pp. 813-820, Macau, China, Dec. 2024.
  20. B. Halpern, T. Toda, "Reference-free automatic speech severity evaluation using acoustic unit language modelling," Proc. SpandLDeteriorate Workshop of ACM Multimedia Asia (Workshop on Multi-Biological Sensing Data for Speech and Language Deterioration Prediction), 5 pages, Dec. 2024.【Best Paper Award】
  21. X. Shi, Y. Gao, J. He, J. Mi, X. Li, T. Toda, "A study on multimodal fusion and layer adapter in emotion recognition," Proc. APSIPA ASC, 6 pages, Macau, China, Dec. 2024.
  22. T. Imamura, Y. Hashizume, T. Toda, "Multi-task learning approaches for music similarity representation learning based on individual instrument sounds," Proc. APSIPA ASC, 6 pages, Macau, China, Dec. 2024.【Selected as the Best Student Paper Candidate for APSIPA ASC 2024】
  23. Z. Yang, J. He, T. Toda, "Multi-modal video summarization based on two-stage fusion of audio, visual, and recognized text information," Proc. APSIPA ASC, 6 pages, Macau, China, Dec. 2024.
  24. J. Mi, S. Kim, T. Toda, "Improved architecture for high-resolution piano transcription to efficiently capture acoustic characteristics of music signals," Proc. APSIPA ASC, 6 pages, Macau, China, Dec. 2024.
  25. J. Mi, X. Shi, D. Ma, J. He, T. Fujimura, T. Toda, "Two-stage framework for robust speech emotion recognition using target speaker extraction in human speech noise conditions," Proc. APSIPA ASC, 6 pages, Macau, China, Dec. 2024.
  26. X. Li, X. Shi, Y. Si, Z. Zhang, F. Cui, Y. Li, Y. Liu, M. Unoki, M. Akagi, "BEES: a new acoustic task for blended emotion estimation in speech," Proc. APSIPA ASC, 6 pages, Macau, China, Dec. 2024.
　

著書・解説

  1. E. Cooper, W.-C. Huang, Y. Tsao, H.-M. Wang, T. Toda, J. Yamagishi, "A review on subjective and objective evaluation of synthetic speech," Acoustical Science and Technology, Vol. 45, No. 4, pp. 161-183, July 2024.
  2. クーパー エリカ, ホワン ウェンチン, ツァオ ユ, ワン シンミン, 戸田 智基, 山岸 順一, "合成音声の客観評価とVoiceMOSチャレンジ," 日本音響学会誌, Vol. 80, No. 7, pp. 381-392, Aug. 2024.
  3. 安田 裕介, 戸田 智基, "音声のMOS評価法の限界と大規模比較評価の新しい可能性," 日本音響学会誌, Vol. 80, No. 7, pp. 393-400, Aug. 2024.
　

招待講演

  1. T. Toda, "Challenges in leveraging large models for augmented speech production," RASDAP 2024, TCSDAP, Suzhou, China, Apr. 2024 (Online).
  2. T. Toda, "Voice conversion techniques to separately control static and dynamic speech characteristics," Frontier Forum on Intelligent Speech Analysis and Generation, University of Science and Technology of China, Hefei, China, July 2024.
  3. W.-C. Huang, "深層学習に基づく音声変換の進展と展望," 音声言語情報処理研究発表会／音声研究会, Oct. 2024.
  4. T. Fujimura, "Research introduction of anomalous sound detection for real-world scenarios," Technical Seminar on Anomalous Sound Detection, 同志社大学, Oct. 2024.
  5. 戸田 智基, "音声変換の基礎と研究動向," 名古屋工業大学国際音声言語生成技術研究所特別講演会, Dec. 2024.
　

研究会

  1. 今村 剛大, 橋爪 優果, 戸田 智基, "個別楽器音に基づく楽曲間類似度表現学習における音源分離の活用法," 情報処理研報, Vol. 2024-MUS-140, No. 54, pp. 1-7, June 2024.
  2. 中田 優翔, 吉岡 大貴, ホワン ウェンチン, 戸田 智基, "話し言葉音声合成のためのテキスト発話スタイル変換の改良," 情報処理研報, Vol. 2024-SLP-154, No. 6, pp. 1-6, Dec. 2024.
  3. 今村 剛大, 橋爪 優果, ホワン ウェンチン, 戸田 智基, "個別楽器音に基づく知覚的楽曲間類似度表現学習," 情報処理研報, Vol. 2025-MUS-142, No. 7, pp. 1-9, Mar. 2025.
  4. 澤田 桂都, Wen-Chin Huang, 戸田 智基, "大局的構造生成のための小節特徴量系列モデリングに基づく階層的自動作曲," 情報処理研報, Vol. 2025-MUS-142, No. 49, pp. 1-7, Mar. 2025.【第142回音楽情報科学研究会 学生奨励賞 Best Research 部門（受賞者：澤田 桂都）】
　

大会講演

  1. 橋爪 優果, 宮下 敦志, 李 莉, 戸田 智基, "多視点楽曲検索に向けた楽曲分離表現学習," 人工知能学会全国大会論文集, 1O4-OS-29a-01, pp. 1-4, May 2024.【第38回人工知能学会全国大会優秀賞オーガナイズドセッション口頭発表部門（受賞者：橋爪 優果）】
  2. 小椋 忠志, 岡本 拓磨, 大谷 大和, 戸田 智基, 河井 恒, "音素埋め込みスキップ接続を用いた継続長拡張に頑健な音声合成," 音講論, 1-6-3, pp. 1067-1070, Sep. 2024.
  3. Wen-Chin Huang, Yi-Chiao Wu, 戸田 智基, "話者匿名化したデータを用いる多話者テキスト音声合成," 音講論, 1-6-4, pp. 1071-1074, Sep. 2024.
  4. 山下 陽生, 岡本 拓磨, 高島 遼一, 大谷 大和, 滝口 哲也, 戸田 智基, 河井 恒, "系列変換型声質変換モデルにおける単調アライメント探索の改良," 音講論, 2-6-1, pp. 1095-1098, Sep. 2024.
  5. 安田 裕介, 戸田 智基, "合成音声の大規模主観比較評価からの絶対品質推定," 音講論, 3-6-5, pp. 1137-1140, Sep. 2024.
  6. 大谷 大和, 岡本 拓磨, 戸田 智基, 河井 恒, "FIR型深層波形生成モデルを用いたF0制御可能なEnd-to-End音声合成の検討," 音講論, 1-Q-40, pp. 1167-1170, Sep. 2024.
  7. 小林 和弘, 荻田 健一, 丹羽 希碩, Lester Violeta，Wen-Chin Huang, 戸田 智基, "模擬電気喉頭音声コーパス," 音講論, 2-Q-28, pp. 1221-1222, Sep. 2024.
  8. 宮下 敦志, 戸田 智基, "ワーピングを用いた電気式人工喉頭音声変換システムに適した発話例生成," 音講論, 2-Q-35, pp. 1241-1242, Sep. 2024.【第29回日本音響学会 学生優秀発表賞（受賞者：宮下 敦志）】
  9. 橋爪 優果, 戸田 智基, "各楽器パートに焦点を当てた知覚的楽曲間類似度の調査," 音講論, 2-1-18, pp. 1369-1370, Sep. 2024.
  10. 橋本 圭織，河村 隆生, 小野 順貴, 西澤 佳飛, 戸田 智基, "倍音の振幅操作に基づく母音の無限音階化の検討," 音講論, 1-R-43, pp. 733-734, Mar. 2025.
  11. 小椋 忠志, 岡本 拓磨, 大谷 大和, Erica Cooper, 戸田 智基, 河井 恒, "BERTを用いたアクセントラベル不要な日本語ニューラルTTS," 音講論, 1-2-5, pp. 893-896, Mar. 2025.
  12. 米山 怜於, 宮下 敦志, 山本 龍一, 戸田 智基, "Wavehax：調波信号モデルと2次元畳み込みを用いた複素スペクトログラム推定に基づくエイリアシングフリーニューラルボコーダ," 音講論, 1-2-9, pp. 909-912, Mar. 2025.
  13. Wen-Chin Huang, Erica Cooper, 戸田 智基, "MOS-Bench: 音声品質評価モデルの汎化能力に着目したベンチマーク," 音講論, 3-2-1, pp. 959-960, Mar. 2025.
  14. 吉岡 大貴, 中田 優翔, 安田 裕介, 戸田 智基, "テキスト・発話スタイル同時制御を可能とする非流暢性に着目した講演音声合成," 音講論, 1-R-20, pp. 1041-1042, Mar. 2025.
  15. 荻田 健一, 米山 怜於, Wen-Chin Huang, 戸田 智基, "VAE-SiFiGAN: 変分自己符号化表現に基づくSiFiGAN," 音講論, 1-R-30, pp. 1073-1074, Mar. 2025.
  16. 尹 道鉉, 安田 裕介, 戸田 智基, "聴取実験に基づく深層音声電子透かし最適化基準の設計," 音講論, 3-P-6, pp. 1093-1094, Mar. 2025.
  17. 今村 剛大, 西村 太一, 小松 達也, 戸田 智基, "動画内区間検索及びハイライト検出における音響特徴量活用の有効性," 音講論, 3-P-16, pp. 1125-1128, Mar. 2025.
  18. 山下 陽生, 岡本 拓磨, 高島 遼一, 大谷 大和, 滝口 哲也, 戸田 智基, 河井 恒, "系列変換型声質変換におけるアライメント方式の比較," 音講論, 3-P-20, pp. 1137-1140, Mar. 2025.
  19. 西澤 佳飛, 山本 龍一, Wen-Chin Huang, 戸田 智基, "歌声合成を用いた斉唱の自然性に関する要因調査," 音講論, 3-P-31, pp. 1171-1172, Mar. 2025.
  20. 澤田 桂都, Wen-Chin Huang, 戸田 智基, "小節特徴量を活用した楽曲の大局的構造を反映した自動作曲," 音講論, 1-5-3, pp. 1201-1202, Mar. 2025.
  21. K. Wilkinghoff, T. Fujimura, K. Imoto, J. Le Roux, "Handling domain shifts for anomalous sound detection: A review," Proc. DAS/DAGA, 4 pages, Copenhagen, Denmark, Mar. 2025.
　

その他発表

  1. R. Yoneyama, "Source-filter HiFi-GAN: fast and pitch controllable high-fidelity neural vocoder," Talk at AI for Music and Speech Forum, Music and Audio Research Group, Seoul National University, Seoul, Korea, Apr. 2024.
  2. L.P. Violeta, "Electrolaryngeal speech intelligibility enhancement through robust linguistic encoders" and "The Singing Voice Conversion Challenge 2023," Talk at AI for Music and Speech Forum, Music and Audio Research Group, Seoul National University, Seoul, Korea, Apr. 2024.
  3. R. Yoneyama, Y.-C. Wu, T. Toda, "High-fidelity and pitch-controllable neural vocoder based on unified source-filter networks," IEEE ICASSP, SPS journal paper presentation, Seoul, Korea, Apr. 2024.
  4. Z. Qiu, J. Wang, B. He, S. Zhang, S. Makino, "Transformer-based virtual microphone estimator," Hands-free Speech Communication and Microphone Arrays (HSCMA), Non-Archival Track, 5 pages, Seoul, Korea, Apr. 2024.
  5. 戸田 智基, "音メディア情報処理に関する研究事例," 名古屋大学情報基盤センターコロキウム, 愛知, June 2024.
  6. T. Fujimura, I. Kuroyanagi, T. Toda, "The NU systems for DCASE 2024 Challenge Task 2," Technical report, DCASE Task 2, 5 pages, July 2024.
  7. 澤田 桂都, "大域的構造を反映した楽曲生成に向けた小節特徴量系列モデリング," 第28回東海地区音声関連研究室修士論文中間発表会, 愛知, Aug. 2024.
  8. 西澤 佳飛, "歌声合成を用いた斉唱の自然性に関する要因分析," 第28回東海地区音声関連研究室修士論文中間発表会, 愛知, Aug. 2024.
  9. 尹 道鉉, "プロアクティブ型ディープフェイク音声検知のための半脆弱な電子透かし埋め込み," 第28回東海地区音声関連研究室修士論文中間発表会, 愛知, Aug. 2024.
  10. W.C. Huang, "Pre-training Approaches for Voice Conversion to Address Data Scarcity and Their Applications to Ground-Truth-Free Tasks," 2023年度研究会推薦博士論文速報, 情報処理学会・学会誌「情報処理」, Aug. 2024.
  11. 戸田 智基, "音メディアコミュニケーションにおける共創型機能拡張技術の創出," JST CREST「人間と情報環境の共生インタラクション基盤技術の創出と展開」領域, 2024年度終了課題成果発表シンポジウム, 口頭発表, 東京, Sep. 2024.
  12. 戸田 智基, 小野 順貴, 亀岡 弘和, "物理的制約を超えた発声・聴覚機能の獲得," JST CREST「人間と情報環境の共生インタラクション基盤技術の創出と展開」領域, 2024年度終了課題成果発表シンポジウム, ポスター発表, 東京, Sep. 2024.
  13. T. Toda, N. Ono, H. Kameoka, "Augmented speech production and hearing systems," JST CREST「人間と情報環境の共生インタラクション基盤技術の創出と展開」領域, 最終成果報告国際シンポジウム, ポスター発表, 東京, Sep. 2024.
  14. Z. Yang, "Multi-modal video summarization based on two-stage fusion of audio, visual, and recognized text information," 2024 APSIPA China-Japan Joint Symposium on Speech and Language Processing, Tianjin, China, Sep. 2024.
  15. S. Chen, "QHM-GAN: neural vocoder based on quasi-harmonic modeling," 2024 APSIPA China-Japan Joint Symposium on Speech and Language Processing, Tianjin, China, Sep. 2024.
  16. R. Wang, "Direction-aware target speaker extraction under noisy underdetermined conditions," 2024 APSIPA China-Japan Joint Symposium on Speech and Language Processing, Tianjin, China, Sep. 2024.
  17. J. Feng, "Robustness of TTS models trained on noisy transcriptions," 2024 APSIPA China-Japan Joint Symposium on Speech and Language Processing, Tianjin, China, Sep. 2024.
  18. X. Shi, "Speech emotion prediction towards development of emotion-aware dialogue systems," 2024 APSIPA China-Japan Joint Symposium on Speech and Language Processing, Tianjin, China, Sep. 2024.
  19. F. Li, "Mandarin speech reconstruction from ultrasound tongue images based on generative adversarial networks," 2024 APSIPA China-Japan Joint Symposium on Speech and Language Processing, Tianjin, China, Sep. 2024.
  20. "名古屋大学＆東京都立大学CREST共創型音メディア機能拡張PJ," CEATEC 2024, 展示, 千葉, Oct. 2024.
  21. Z. Duan, T. Toda, Q. Zhang, T. Liu, Y. Wang, X. Zhang, C. Zeng, "Panel Discussion on SVDD," Challenge Session on Singing Voice Deepfake Detection (SVDD), IEEE SLT, Dec. 2024.
  22. 戸田 智基, "音メディア情報処理に関する研究," 名古屋大学-NTT技術交流会, Dec. 2024.
  23. T. Fujimura, "Introduction of our research -- unsupervised speech enhancement and anomalous sound detection," Online Talk at Research Paper Sharing Session, Speech and Language laboratory, Nanyang Technological University, Feb. 2025.
  24. 北原 鉄朗, 中村 聡史, 伊藤 貴之, 寺田 努, 橋爪優果, 畑 玲音, "どうする？研究室運営　理想と現実のはざまで見つけたメソッドとは," 情報処理学会第87回全国大会, イベント企画, Mar. 2025.
　

博士論文

  1. Rui Wang, "Deep source modeling for direction-aware dual-channel target speaker extraction in noisy underdetermined conditions," 情報学研究科知能システム学専攻博士論文, Feb. 2025.
　

修士論文

  1. 澤田 桂都, "大局的構造生成のための小節特徴量系列モデリングに基づく階層的自動作曲," 情報学研究科知能システム学専攻修士論文, Feb. 2025.
  2. 西澤 佳飛, "歌声合成を利用した斉唱の音響特徴分析と深層斉唱分離への応用," 情報学研究科知能システム学専攻修士論文, Feb. 2025.
  3. 尹 道鉉, "プロアクティブ型ディープフェイク対策のための深層電子透かし埋め込み・検出," 情報学研究科知能システム学専攻修士論文, Feb. 2025.
　

卒業論文

  1. 古田 京平, "知識蒸留による因果的な音声潜在特徴抽出と音声変換への適用," 令和5年度情報学部コンピュータ科学科卒業論文, Feb. 2025.
  2. 松本 昌亮, "ドメイン汎化型異常音検知のための異常スコア分析," 令和5年度情報学部コンピュータ科学科卒業論文, Feb. 2025.
  3. 宮司 光梨, "制御性の高いピアノ自動編曲に向けた楽曲難易度指標の設計," 令和5年度情報学部コンピュータ科学科卒業論文, Feb. 2025.
　

他の年度はこちら