Kai Li

Orcid: 0000-0002-6633-3954

Affiliations:
  • Japan Advanced Institute of Science and Technology, School of Information Science, Japan


According to our database1, Kai Li authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
Contributions of Jitter and Shimmer in the Voice for Fake Audio Detection.
IEEE Access, 2023

Data-driven Non-uniform Filterbanks Based on F-ratio for Machine Anomalous Sound Detection.
Proceedings of the 31st European Signal Processing Conference, 2023

Analysis of Spectro-Temporal Modulation Representation for Deep-Fake Speech Detection.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Deep Spectro-temporal Artifacts for Detecting Synthesized Speech.
Proceedings of the DDAM@MM 2022: Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia, 2022

Automatic Mean Opinion Score Estimation with Temporal Modulation Features on Gammatone Filterbank for Speech Assessment.
Proceedings of the Interspeech 2022, 2022

Data Augmentation Using McAdams-Coefficient-Based Speaker Anonymization for Fake Audio Detection.
Proceedings of the Interspeech 2022, 2022

Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network.
Proceedings of the 30th European Signal Processing Conference, 2022

Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Temporal Modulation Features on Gammatone Auditory Filterbank.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021
Study on Simultaneous Estimation of Glottal Source and Vocal Tract Parameters by ARMAX-LF Model for Speech Analysis/Synthesis.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Segment-Level Effects of Gender, Nationality and Emotion Information on Text-Independent Speaker Verification.
Proceedings of the Interspeech 2020, 2020


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