ENT-00001841 · Audio Codec Model

EnCodec

EnCodec is a neural audio codec associated with Meta AI.

Level IV — ConnectedActiveConnected

Human readable record

Overview

EnCodec is a documented AI model or assistant-related entity associated with Meta AI. The record focuses on its public identity, release context, capability class, source lineage and relationship to adjacent model or product families.

Timeline

2023EnCodec public documentation anchor
EnCodec appears in public documentation or stable reference sources as a neural audio codec associated with Meta AI.

Capabilities

Generative mediaCreative synthesisModel evaluation

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for EnCodec. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/facebookresearch/encodec.

Controlled tags

Creative IntelligenceGenerative ModelAI Model

Relationship graph

EnCodec

Associated organizationMeta AI

EnCodec is associated with Meta AI through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001841",
    "name": "EnCodec",
    "alternateName": [],
    "additionalType": "Audio Codec Model",
    "description": "EnCodec is a neural audio codec associated with Meta AI.",
    "creator": "Meta AI",
    "url": "entity.php?id=ENT-00001841",
    "sameAs": "https://github.com/facebookresearch/encodec",
    "lxkeysWorld": {
        "classification": "neural audio codec",
        "organization": "Meta AI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:29+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Generative media",
            "Creative synthesis",
            "Model evaluation"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Creative Intelligence",
            "Generative Model",
            "AI Model"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "EnCodec public documentation anchor",
                "description": "EnCodec appears in public documentation or stable reference sources as a neural audio codec associated with Meta AI."
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Associated organization",
                "description": "EnCodec is associated with Meta AI through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Model card, official page or repository",
                "url": "https://github.com/facebookresearch/encodec",
                "source_type": "Official Repository",
                "verification_status": "verified"
            }
        ]
    }
}

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