Takenori Yoshimura

24 papers A 3C 1Misc 5Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	Misc	`conf`	Embedding a Differentiable Mel-Cepstral Synthesis Filter to a Neural Speech Synthesis System. ICASSP Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura, Keiichiro Oura, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
2023	—	`conf`	SPTK4: An Open-Source Software Toolkit for Speech Signal Processing. SSW Takenori Yoshimura, Takato Fujimoto, Keiichiro Oura, Keiichi Tokuda
2022	J	`jnl`	Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System. CoRR Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura, Keiichiro Oura, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
2021	—	`conf`	An Ensemble Approach to Anomalous Sound Detection Based on Conformer-Based Autoencoder and Binary Classifier Incorporated with Metric Learning. DCASE Ibuki Kuroyanagi, Tomoki Hayashi, Yusuke Adachi, Takenori Yoshimura, Kazuya Takeda, Tomoki Toda
2021	J	`jnl`	ESPnet2-TTS: Extending the Edge of TTS Research. CoRR Tomoki Hayashi, Ryuichi Yamamoto, Takenori Yoshimura, Peter Wu, Jiatong Shi, Takaaki Saeki, Yooncheol Ju, Yusuke Yasuda, Shinnosuke Takamichi, Shinji Watanabe
2021	—	`conf`	Spontaneous Speech Summarization: Transformers All The Way Through. EUSIPCO Tomoki Hayashi, Takenori Yoshimura, Masaya Inuzuka, Ibuki Kuroyanagi, Osamu Segawa
2020	J	`jnl`	End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection. CoRR Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe
2020	Misc	`conf`	End-to-End Automatic Speech Recognition Integrated with CTC-Based Voice Activity Detection. ICASSP Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe
2020	Misc	`conf`	Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. ICASSP Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan
2019	C	`conf`	A Comparative Study on Transformer vs RNN in Speech Applications. ASRU Shigeki Karita, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto
2019	J	`jnl`	A Comparative Study on Transformer vs RNN in Speech Applications. CoRR Shigeki Karita, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang
2019	J	`jnl`	ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. CoRR Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan
2019	Misc	`conf`	Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding. ICASSP Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2018	—	`conf`	Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition. APSIPA Takenori Yoshimura, Natsumi Koike, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2018	J	`jnl`	Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2018	—	`conf`	Speech Synthesis Using WaveNet Vocoder Based on Periodic/Aperiodic Decomposition. APSIPA Takato Fujimoto, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2018	Misc	`conf`	Statistical Voice Conversion Based on Wavenet. ICASSP Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2018	—	`conf`	The NITech text-to-speech system for the Blizzard Challenge 2018. Blizzard Challenge Kei Sawada, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2018	—	`conf`	WaveNet-Based Zero-Delay Lossless Speech Coding. SLT Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2017	A	`conf`	Articulatory Text-to-Speech Synthesis Using the Digital Waveguide Mesh Driven by a Deep Neural Network. INTERSPEECH Amelia Jane Gully, Takenori Yoshimura, Damian T. Murphy, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
2017	J	`jnl`	Simultaneous Optimization of Multiple Tree-Based Factor Analyzed HMM for Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
2016	A	`conf`	A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks. INTERSPEECH Takenori Yoshimura, Gustav Eje Henter, Oliver Watts, Mirjam Wester, Junichi Yamagishi, Keiichi Tokuda
2015	A	`conf`	Simultaneous optimization of multiple tree structures for factor analyzed HMM-based speech synthesis. INTERSPEECH Takenori Yoshimura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
2013	—	`conf`	Cross-lingual speaker adaptation based on factor analysis using bilingual speech data for HMM-based speech synthesis. SSW Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.