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.
 

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.
 

招待講演

  1. T. Toda, "Challenges in leveraging large models for augmented speech production," RASDAP 2024, TCSDAP, Suzhou, China, Apr. 2024 (Online).
 

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.
 


他の年度はこちら