Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Official implementation of Neural Audio Fingerprint (ICASSP 2021)

Experimental Audio Search Algorithm Implementation (Shazam demo)

On-device Speech-to-Index engine powered by deep learning

This project use PANNs for audio tagging and sound event detection, and finally get audio embeddings. Then Milvus is used to search the similarity audio items.

Deep Learning for Audio in CSharp and Keras

🎵 Audio Fingerprinting Microservice | Shazam-like System A scalable microservice for audio recognition and fingerprinting, implementing Shazam-like functionality using: - Spring Boot backend - Elasticsearch for fast audio pattern matching - Docker containerization - Kafka for event streaming - MinIO for audio storage

simple tool for quickly searching and managing sound effects.

Audio Deep Learning Project in Java