clap-htsat-fused

by laion

Contrastive Language-Audio Pretraining for audio-text retrieval

20.4Mdl/month

56likes

154Mparams

HuggingFace Use in Pipeline

Identifiers

Model ID

laion/clap-htsat-fused

Feature URI

mixpeek://audio_extractor@v1/laion_clap_fused_v1

Overview

CLAP learns aligned audio and text representations through contrastive learning, similar to how CLIP works for images and text. The HTSAT-fused variant uses the HTS-AT audio transformer fused with RoBERTa text embeddings.

On Mixpeek, CLAP enables semantic audio search — find audio segments matching natural language descriptions like "crowd cheering" or "rain on a roof."

Architecture

HTS-AT (Hierarchical Token-Semantic Audio Transformer) as audio encoder, RoBERTa as text encoder. Trained on AudioSet, Clotho, and other audio-text pair datasets with contrastive loss. Outputs 512-dim joint embedding space.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

await mx.collections.ingest({
  collection_id: "my-collection",
  source: { url: "https://example.com/audio.wav" },
  feature_extractors: [{
    name: "audio_embedding",
    version: "v1",
    params: {
      model_id: "laion/clap-htsat-fused"
    }
  }]
});