sonusai 0.10.10

Framework for building deep neural network models for sound, speech, and voice AI

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:

• Aaware Inc. sonusai executable: 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 trainining rnn-based models like CRNN’s, DSCRNN’s, etc. in Keras