audio search/retrieval library
Project description
shira 🔖🎧
A simple audio search/retrieval library. (wip)
This is the audio version of ripple. It's meant to be an neural encoded version of Shazam, but might just be for small scale/local usage.
Methodology
It's basically a semantic search library for audio.
The local audio data/files are indexed and embeddings are generated(with CLAP),
then a FAISS vector index is created.
The files are retrieved based on cosine similarity between embeddings.
This process makes use of contrastively pretrained audio-language model, CLAP(like OpenAI CLIP for audio), specifically LAION's laion/larger_clap_music_and_speech checkpoint/model
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