An Investigation of Noisy-to-noisy Voice Conversion Performance in Various Noisy Conditions by Chao Xie, Tomoki Toda

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Analysis and Extension of Noisy-target Training for Unsupervised Target Signal Enhancement by Takuya Fujimura, Tomoki Toda

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Predicting Fundamental Frequency Patterns in Electrolaryngeal Speech Using Automated Phoneme Extraction by Mohammad Eshghi, Tomoki Toda

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Target Speaker Extraction under Noisy Underdetermined Conditions Using Conditional Variational Autoencoder, Global Style Token, and Neural Postfilter by Rui Wang, Takuya Fujimura, Tomoki Toda

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Learning Separated Representations for Instrument-based Music Similarity by Yuka Hashizume, Li Li, Atsushi Miyashita, Tomoki Toda

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Improving Anomalous Sound Detection Through Pseudo-anomalous Set Selection and Pseudo-label Utilization Under Unlabeled Conditions by Ibuki Kuroyanagi, Takuya Fujimura, Kazuya Takeda, Tomoki Toda

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Serial-OE: Anomalous Sound Detection Based on Serial Method with Outlier Exposure Capable of Using Small Amounts of Anomalous Data for Training by Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda

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Phoneme-Level Duration Controllable Neural Text-to-Speech With Phoneme Embedding Skip Connection and Modified Gaussian Duration Modeling by Tadashi Ogura, Takuma Okamoto, Yamato Ohtani, Erica Cooper, Tomoki Toda, Hisashi Kawai

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Sequence-to-sequence Voice Conversion-based Techniques for Electrolaryngeal Speech Enhancement in Noisy and Reverberant Conditions by Ding Ma, Yeonjong Choi, Takuya Fujimura, Fengji Li, Chao Xie, Kazuhiro Kobayashi, Tomoki Toda

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Mandarin speech reconstruction from surface electromyography based on generative adversarial networks by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

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End-to-End Mandarin Speech Reconstruction Based on Ultrasound Tongue Images Using Deep Learning by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Shaochuan Zhang, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

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