Framework for building deep neural network models for sound, speech, and voice AI
Project description
SonusAI: Framework for simplified creation of deep NN models for sound, speech, and voice AI
SonusAI includes functions for pre-processing training and validation data and creating performance metrics reports for key types of Keras models: - recurrent, convolutional, or a combination (i.e. RCNNs) - binary, multiclass single-label, multiclass multi-label, and regression - training with data augmentations: noise mixing, pitch and time stretch, etc.
- SonusAI python functions are used by:
Aaware Inc. sonusai framework: Easily create train/validation data, run prediction, evaluate model performance
Keras model scripts: User python scripts for Keras model creation, training, and prediction. These can use sonusai-specific data but also some general useful utilities for training rnn-based models like CRNN’s, DSCRNN’s, etc. in Keras.
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