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:
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for sonusai-0.10.12-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 61f36fe3decf6f90052223ea96a1c8cf351ab3659743922421d221923cc55301 |
|
MD5 | 7d687854862583d6fee502f8863a2ba3 |
|
BLAKE2b-256 | 335534e473807ca76bc0aec82f1f972007123b502e2d5b350448766f45075b4d |