Capstone
1.[Capstone #1] RAG : Retrieval-Augmented Generation
출처 : https://eugeneyan.com/writing/llm-patterns/
2024년 1월 27일
2.[Capstone #2] E3 TTS: Easy end-to-end Diffusion-based Text to Speech
Paper : https://arxiv.org/abs/2311.00945
2024년 3월 8일
3.[Capstone #3] Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Paper : https://arxiv.org/abs/2205.11487
2024년 3월 9일
4.[Capstone #4] OverFlow: Putting flows on top of neural transducers for better TTS
Paper : https://arxiv.org/abs/2211.06892
2024년 3월 15일
5.[Capstone #5] Matcha-TTS: A fast TTS architecture with conditional flow matching
Paper : https://arxiv.org/abs/2309.03199
2024년 3월 22일
6.[Capstone #6] VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
Paper : https://arxiv.org/abs/2307.16430
2024년 3월 29일
7.[Capstone #7] Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Paper : https://arxiv.org/abs/2106.06103
2024년 4월 19일
8.[Capstone #8] SK TECH SUMMIT 2023: VITS2
Youtube : https://www.youtube.com/watch?v=Abov0q9T4jU:
2024년 4월 26일
9.[Capstone #9] Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures
Paper : https://arxiv.org/abs/2305.15571
2024년 5월 10일
10.[Capstone #10] Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
Paper : https://arxiv.org/abs/2311.11745
2024년 5월 18일