Audio Deep Learning Project in Java
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Updated
Apr 2, 2018 - Java
Audio Deep Learning Project in Java
Directly from voice, recognise speaker emotion, intensity, & sentiment in speaker utterances.
Generate audio embedding out of pruned L3
Pytorch port of Google Research's VGGish model used for extracting audio features.
Re-Implementation of Google Research's VGGish model used for extracting audio features using Pytorch with GPU support.
Extract audio embeddings from an audio file using Python
Visualizations of music semantics calculus using Spotify and deep embeddings.
Audio search using Azure Cognitive Search
Generate realistic, synthetic call center conversations
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
Audio Embeddings using VGGish
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