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APSIPA demo
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Leander Maben
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APSIPA demo
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APSIPA interview with Professor Antonio Ortega
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Cost Sensitive Optimization Deepfake Detector | APSIPA 2020
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APSIPA Interview for Prof. Kenneth Lam
0:02:26
Deep Fake Detection Demo (EN)
0:11:46
APSIPA Interview with Prof. Kiyoharu Aizawa
0:29:26
Emotion for Speech Synthesis, Invited Talk (Overview Session) at APSIPA ASC 2021, Tokyo, Japan
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Real time view synthesis using active illumination and adaptive space time cost volume filtering
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Real-time, full-band, online DNN-based voice conversion system using a single CPU (INTERSPEECH 2020)
0:15:00
Coprime Microphone Arrays for Estimating Speech Direction of Arrival Using Deep Learning
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FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios
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66 - Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
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Breakthrough Army technology is a game changer for deepfake detection
0:58:59
Ling 441 - Advanced Phonetics - Speech Synthesis, part 1
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How AI Voice Conversion works in MetaVoice
1:15:44
DeepFakes: from Generation to Detection 1/2 | by Yauhen Babakhin | Kaggle Days Meetup Spain #1
0:03:07
Two-Pathway Style Embedding for Arbitrary Voice Conversion - (3 minutes introduction)
0:10:57
[INTERSPEECH 2020] VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture
1:54:47
#APSP2023 | Day 3 | Session 5C | Digital Social Protection – Whole-of-Government Approach for (...)...
0:03:17
Multi-speaker Emotional Text-to-speech Synthesizer - (3 minutes introduction)
0:12:01
[ICCV 2021 Oral] Just Ask: 12 Min Presentation
0:02:18
All the Feels: NVIDIA Shares Expressive Speech Synthesis Research at Interspeech
0:21:38
Emotion Synthesis for AI