audio-modeling-tools Goto Github PK
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audio-modeling-tools's Projects
adtlib
Automated Drum Transcription Library
audio-preprocessing-exercises-with-librosa
Jupyter notebooks for me and all of those who want to quickly get started with this nice python library. My notebooks will be focused on preprocessing audio for neural network
build-cnn-or-lstm-or-cnnlstm-with-speech-features
A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LSTM models with those features.
covid_cough_test
Predicting if the user is COVID positive or negative based on audio sample of his cough. Accuracy is 89%
deeplearningforaudiowithpython
Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.
kaggle-birdcall-resnet-baseline-training
The repository to show the way I trained https://www.kaggle.com/hidehisaarai1213/birdcall-resnet50-init-weights
kapre
kapre: Keras Audio Preprocessors
musicinformationretrieval.com
Instructional notebooks on music information retrieval.
musicnn
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
musicnn-training
Tensorflow code for training deep convolutional neural networks for music audio tagging
neuralplda
Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)
speech_recognition
Speech recognition module for Python, supporting several engines and APIs, online and offline.
speechbrain
A PyTorch-based Speech Toolkit
urban-sound-classification
Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
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