Hirokazu Kameoka is affiliated with NTT in Japan and has contributed extensively to the field of computer science, with a focused expertise in signal processing and its applications. Their research output spans over 122 publications, predominantly within the domains of speech and audio processing, speech recognition and synthesis, and music and audio processing.
The scientist's research contributions are highlighted through recent publications in reputable venues. Some notable papers include: "ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion" (2020) published in IEEE/ACM Transactions on Audio Speech and Language Processing; "ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech" (2020) in Computer Speech & Language; "ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform" (2022) presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing; "Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine" (2022) in Briefings in Bioinformatics; and "Pretraining Techniques for Sequence-to-Sequence Voice Conversion" (2021) also in IEEE/ACM Transactions on Audio Speech and Language Processing.
Their recurring publication venues reflect these research interests: arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, ICASSP 2022, IEEE Access, and NTT technical review.
Within their main and subfields of study, Hirokazu Kameoka's work includes contributions to signal processing, artificial intelligence, computer vision and pattern recognition, computational mechanics, and radiology, nuclear medicine and imaging.
Frequent co-authors collaborating with Kameoka include Kou Tanaka, Takuhiro Kaneko, Shogo Seki, Nobukatsu Hojo, and Wen-Chin Huang, indicating active partnerships in advancing speech and audio technologies.
The primary topics of Kameoka's work are:
Hirokazu Kameoka's profile outlines a comprehensive engagement with theory and applications related to audio and speech technologies, along with interdisciplinary exploration in computational methods and artificial intelligence approaches within the broader field of computer science.
Xin Wang;Junichi Yamagishi;Junichi Yamagishi;Massimiliano Todisco;Héctor Delgado
Hirokazu Kameoka;Takuhiro Kaneko;Kou Tanaka;Nobukatsu Hojo
Daichi Kitamura;Nobutaka Ono;Hiroshi Sawada;Hirokazu Kameoka
H. Sawada;H. Kameoka;S. Araki;N. Ueda
Takuhiro Kaneko;Hirokazu Kameoka
Takuhiro Kaneko;Hirokazu Kameoka;Kou Tanaka;Nobukatsu Hojo
H. Kameoka;T. Nishimoto;S. Sagayama
Takuhiro Kaneko;Hirokazu Kameoka
Hirokazu Kameoka;Nobutaka Ono;Kunio Kashino;Shigeki Sagayama
Nobutaka Ono;Kenichi Miyamoto;Jonathan Le Roux;Hirokazu Kameoka
Takuhiro Kaneko;Hirokazu Kameoka;Kou Tanaka;Nobukatsu Hojo
Masahiro Nakano;Hirokazu Kameoka;Jonathan Le Roux;Yu Kitano
Takuhiro Kaneko;Hirokazu Kameoka;Nobukatsu Hojo;Yusuke Ijima
Nobutaka Ono;Kenichi Miyamoto;Hirokazu Kameoka;Shigeki Sagayama
Hiroshi Sawada;Nobutaka Ono;Hirokazu Kameoka;Daichi Kitamura
Takuhiro Kaneko;Hirokazu Kameoka;Kaoru Hiramatsu;Kunio Kashino
Jonathan Le Roux;Hirokazu Kameoka;Nobutaka Ono;Shigeki Sagayama
Wen-Chin Huang;Tomoki Hayashi;Yi-Chiao Wu;Hirokazu Kameoka
Kou Tanaka;Hirokazu Kameoka;Takuhiro Kaneko;Nobukatsu Hojo
Hirokazu Kameoka;Tomohiro Nakatani;Takuya Yoshioka
Hirokazu Kameoka;Takuhiro Kaneko;Kou Tanaka;Nobukatsu Hojo
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