AudioSet classification using RNN
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Updated
Aug 10, 2017 - Jupyter Notebook
AudioSet classification using RNN
Annotation for Google AudioSet Screaming Events (Balanced train videos)
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
Query service to serve the JibJib TensorFlow model
Machine learning model for bird songs recognition
Repo accompanying the blog post "How to Deploy A State-of-the-art PyTorch Model to iOS via Core ML (Part 3)".
Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues"
📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).
Gender prediction in movie audio
Sound augmentation using Large-scale audio dataset (Audioset)
Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.
Pytorch port of Google Research's VGGish model used for extracting audio features.
Audio classification with VGGish as feature extractor in TensorFlow
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
Source code for "Visually aligned sound generation via sound-producing motion parsing" (Published at Neurocomputing)
Spoken Language Identification on Common Voice and AudioSet using Deep Learning
Google's AudioSet consistently reformatted
Re-Implementation of Google Research's VGGish model used for extracting audio features using Pytorch with GPU support.
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