Audiobox Aesthetics
PulseGate's liveness check found it on 12 Oct 2026; it is registered on Hugging Face and has been in the index since 21 Jul 2026. How this is checked
Audiobox Aesthetics is a model for unified automatic quality assessment of speech, music, and general sound. Developed by AI at Meta, it addresses the need for a single system that can evaluate audio quality across different audio types rather than requiring separate specialized tools.
Inferred · not functionally tested
Overview
4 featuresPurpose: Evaluating the quality of generated or recorded audio for speech, music, and general sound without manual review.
Inferred · not functionally tested
Audience: AI researchers and developers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: CC-BY-4.0 · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
In the Other data science & ML space, Audiobox Aesthetics takes a focused approach. Inferred · not functionally tested: It focuses on evaluating the quality of generated or recorded audio for speech, music, and general sound without manual review. Inferred · not functionally tested: It is built as an open-source project for AI researchers and developers. Basis unknown · not verified: Audiobox Aesthetics is open source under the CC-BY-4.0 license. Basis unknown · not verified: It ships for the web, the command line, and API.
It is developed by Meta AI (United States), and it first shipped in 2025. The project is developed in the open on GitHub with 744 stars. Inferred · not functionally tested: Key capabilities include Audio Quality Assessment, CLI Prediction, and Python Integration.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Audio Quality Assessment
- CLI Prediction
- Python Integration
- Pre-trained Models
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 17:09 UTCfacebook/audiobox-aesthetics seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Audiobox Aesthetics
- What is Audiobox Aesthetics?
- Inferred · not functionally tested: Audiobox Aesthetics focuses on evaluating the quality of generated or recorded audio for speech, music, and general sound without manual review. It is catalogued under Other data science & ML on PulseGate.
- Who is Audiobox Aesthetics for?
- Inferred · not functionally tested: Audiobox Aesthetics is an open-source project built for AI researchers and developers.
- Is Audiobox Aesthetics free?
- Basis unknown · not verified: Yes — Audiobox Aesthetics is open source under the CC-BY-4.0 license and free to use.
- What platforms does Audiobox Aesthetics run on?
- Basis unknown · not verified: Audiobox Aesthetics runs on the web, the command line, and API.
- Is Audiobox Aesthetics still active?
- PulseGate's liveness check found it on 12 Oct 2026.
- Who develops Audiobox Aesthetics?
- Audiobox Aesthetics is developed by Meta AI, based in the United States.
- When did Audiobox Aesthetics launch?
- Audiobox Aesthetics first shipped in 2025.
- Is Audiobox Aesthetics open source?
- Basis unknown · not verified: Yes — Audiobox Aesthetics is open source under the CC-BY-4.0 license.
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