Audio Embeddings using VGGish

Audio Deep Learning Project in Java

Re-Implementation of Google Research's VGGish model used for extracting audio features using Pytorch with GPU support.

Generate audio embedding out of pruned L3

Directly from voice, recognise speaker emotion, intensity, & sentiment in speaker utterances.

Visualizations of music semantics calculus using Spotify and deep embeddings.

Audio encoding authentication and validation library for verifying audio as being from a trusted source

SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings

Extract audio embeddings from an audio file using Python

Audio search using Azure Cognitive Search

Pytorch port of Google Research's VGGish model used for extracting audio features.