https://github.com/abdouaziz/clap
Pytorch implementation of CLAP : LEARNING AUDIO CONCEPTS FROM NATURAL LANGUAGE SUPERVISION
https://github.com/abdouaziz/clap
clap pytorch
Last synced: 2 months ago
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Pytorch implementation of CLAP : LEARNING AUDIO CONCEPTS FROM NATURAL LANGUAGE SUPERVISION
- Host: GitHub
- URL: https://github.com/abdouaziz/clap
- Owner: abdouaziz
- Created: 2025-01-08T10:32:14.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-21T12:45:43.000Z (4 months ago)
- Last Synced: 2025-01-21T13:39:43.561Z (4 months ago)
- Topics: clap, pytorch
- Language: Python
- Homepage:
- Size: 30.3 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
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README
# CLAP: Contrastive Language-Audio Pretraining
This repository accompanies the paper **"CLAP: Contrastive Language-Audio Pretraining for Universal Audio Understanding"**, which presents a novel framework for learning joint embeddings of language and audio through contrastive learning.
Figure: CLAP Architecture
CLAP introduces a powerful methodology for training models to understand and represent audio in a way that is aligned with natural language descriptions. By leveraging large-scale datasets and a contrastive learning objective, CLAP bridges the gap between audio and textual representations, enabling robust performance across a variety of downstream tasks.
### Key Contributions
- **Unified Audio-Language Embedding Space**: CLAP maps audio and language into a shared latent space, enabling natural language queries for audio retrieval and classification.
- **Scalability**: The model is trained on a diverse and large-scale dataset, ensuring generalization across multiple domains.
- **Multi-Task Applicability**: CLAP demonstrates state-of-the-art performance in tasks like zero-shot audio classification, captioning, and sound event detection.
## Installation
1. Clone this repository and install the required dependencies:
```bash
git clone https://github.com/abdouaziz/clap.git
cd clap
pip install -r requirements.txt
```
2.to run code :
```bash
bash install.sh
```