Yamagishi, Junichi

“High-quality nonparallel voice conversion based on cycle-consistent adversarial network,”

Fang, F., Yamagishi, J., Echizen, I., & Lorenzo-Trueba, J. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 128

Voice Conversion Challenge 2020 –- Intra-lingual semi-parallel and cross-lingual voice conversion –-

Yi, Z., Huang, W.-C., Tian, X., Yamagishi, J., Das, R. K., Kinnunen, T., Ling, Z.-H., & Toda, T. (2020) · Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 126

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Kinnunen, T., Delgado, H., Evans, N., Lee, K. A., Vestman, V., Nautsch, A., Todisco, M., Wang, X., Sahidullah, M., Yamagishi, J., et al. (2020) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 108

ASVspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T. H., et al. (2024) · The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 101

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2024) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 100

The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance

Zhang, L., Wang, X., Cooper, E., Evans, N., & Yamagishi, J. (2023) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 100

OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild

Le, T.-N., Nguyen, H. H., Yamagishi, J., & Echizen, I. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 97

Thousands of Voices for HMM-Based Speech Synthesis–Analysis and Application of TTS Systems Built on Various ASR Corpora

Yamagishi, J., Usabaev, B., King, S., Watts, O., Dines, J., Tian, J., Guan, Y., Hu, R., Oura, K., Wu, Y.-J., et al. (2010) · IEEE Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 78

An Initial Investigation for Detecting Partially Spoofed Audio

Zhang, L., Wang, X., Cooper, E., Yamagishi, J., Patino, J., & Evans, N. (2021) · Interspeech 2021

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 43

Identifying computer-generated text using statistical analysis

Nguyen-Son, H.-Q., Tieu, N.-D. T., Nguyen, H. H., Yamagishi, J., & Zen, I. E. (2017) · 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 30

ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2026) · Computer Speech & Language

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 30

Can Large-Scale Vocoded Spoofed Data Improve Speech Spoofing Countermeasure with a Self-Supervised Front End?

Wang, X., & Yamagishi, J. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 29

Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Wang, X., & Yamagishi, J. (2023) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 29

Towards single integrated spoofing-aware speaker verification embeddings

Mun, S. H., Shim, H.-J., Tak, H., Wang, X., Liu, X., Sahidullah, M., Jeong, M., Han, M. H., Todisco, M., Lee, K. A., et al. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 9

To what extent can ASV systems naturally defend against spoofing attacks?

Jung, J.-W., Wang, X., Evans, N., Watanabe, S., Shim, H.-J., Tak, H., Arora, S., Yamagishi, J., & Chung, J. S. (2024) · Interspeech 2024

Speech Recognition and SynthesisAdversarial Robustness in Machine Learning

Cited by 7