arXiv:2501.15442
공식 코드 · Papers with Code
Overview of the Amphion Toolkit (v0.2)
원문 초록
Amphion is an open-source toolkit for Audio, Music, and Speech Generation, designed to lower the entry barrier for junior researchers and engineers in these fields. It provides a versatile framework that supports a variety of generation tasks and models. In this report, we introduce Amphion v0.2, the second major release developed in 2024. This release features a 100K-hour open-source multilingual dataset, a robust data preparation pipeline, and novel models for tasks such as text-to-speech, audio coding, and voice conversion. Furthermore, the report includes multiple tutorials that guide users through the functionalities and usage of the newly released models.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Metis: A Foundation Speech Generation Model with Masked Generative Pre-training
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
토론
이 논문과 연결된 포럼 글이 아직 없습니다.