Pith. sign in

REVIEW 3 cited by

Overview of the Amphion Toolkit (v0.2)

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2501.15442 v2 pith:SMQZMEV7 submitted 2025-01-26 cs.SD cs.AIeess.AS

Jiaqi Li , Xueyao Zhang , Yuancheng Wang , Haorui He , Chaoren Wang , Li Wang , Huan Liao , Junyi Ao
show 4 more authors
Zeyu Xie Yiqiao Huang Junan Zhang Zhizheng Wu
This is my paper · ORCID
classification cs.SDcs.AIeess.AS
keywords amphionmodelsaudiogenerationopen-sourcereleasereporttasks
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. TRACE-EVC: Text-Guided Relative Affective Control for Zero-Shot Emotional Voice Conversion

    eess.AS 2026-07 conditional novelty 6.5 of 10

    Source-anchored rectified flow (Emo-Compass) plus TRACE-Instruct enables zero-shot emotional voice conversion driven by relative natural-language instructions rather than absolute targets.

  2. Zero-Shot Text-to-Speech for Vietnamese

    cs.CL 2025-06 conditional novelty 6.0 of 10

    PhoAudiobook is a 941-hour Vietnamese audiobook dataset used to fine-tune and compare three zero-shot TTS models, with reported quality gains over a viVoice-trained baseline.

  3. Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement

    cs.SD 2025-02 conditional novelty 6.0 of 10

    Vevo achieves zero-shot timbre, accent, and emotion imitation by using VQ-VAE codebook size on HuBERT features to create content and content-style tokens.

Pith tools