Framework for building deep neural network models for sound, speech, and voice AI
Project description
Sonus AI: Framework for simplified creation of deep NN models for sound, speech, and voice AI
Sonus AI 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 regresssion - training with data augmentations: noise mixing, pitch and time stretch, etc.
Sonus AI python functions are used by: 1. Aaware Inc. sonusai executable: easily create train/validation data, run prediction, evaluate model performance 2. Keras model scripts: user python scripts for keras model creation, training, and prediction
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