HuBERT: Self-Supervised Speech Representation Learning
IEEE/ACM TASLP - 2021
HuBERT provides self-supervised speech representations used by RVC-style voice conversion pipelines.
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Input
Clean vocals, cover material, or separated vocal stems through an RVC v2 conversion chain
Audio formats
Output
Converted vocals, original vocal references, and downloadable audio for demos and listening tests
Use case
Voice-color conversion, cover demos, and character voice experiments
Include the tool name, steps and the problem in your feedback. Screenshots can help us locate it.
The AI cover pipeline combines separation, RVC voice conversion, and mixdown. The core inputs are a vocal file and target voice model.
RVC v2 converts the input vocal timbre into the selected character voice model.
AI-RVC v1.6.0 uses RMVPE to extract vocal pitch by default.
MVSep 9205 supplies the lead/accompaniment-with-harmony leg, BS-RoFormer Leap XE 90 bands supplies vocals with harmony, and BS-RoFormer Leap Instrumental supplies the accompaniment reference.
The AI cover pipeline separates vocals/accompaniment before conversion and mixdown.
Datasets, versions and conditions remain separate, including sources with no eligible ranking rows.
Deployable entries 0 / source rows 6
A complete public inference package for these experiments has not been verified. Other weights with the same model name do not qualify.
PYIN [6] · CREPE [7] · HARMOF0 [9] · CRN-Raw [13] · JDC [14] · RMVPEPoly
IEEE/ACM TASLP - 2021
HuBERT provides self-supervised speech representations used by RVC-style voice conversion pipelines.
Interspeech - 2023
RMVPE is an Interspeech 2023 robust vocal pitch estimator designed for polyphonic music and used for quality-first F0 extraction.
Official repository - current
The RVC project is the official technical source for the VITS/HuBERT retrieval-based voice conversion workflow.
Find processing methods and steps suited to your material.