Speech Data Processor (SDP) is a toolkit to make it easy to:
- Write code to process a new dataset, minimizing the amount of boilerplate code required.
- Share the steps for processing a speech dataset.
SDP's philosophy is to represent processing operations as 'processor' classes, which take in a path to a NeMo-style data manifest as input (or a path to the raw data directory if you do not have a NeMo-style manifest to start with), apply some processing to it, and then save the output manifest file.
You specify which processors you want to run using a YAML config file. Many common processing operations are provided, and it is easy to add your own.
To learn more about SDP, have a look at our documentation.
SDP is officially supported for Python 3.9, but might work for other versions.
To install all required dependencies run pip install -r requirements/main.txt. You will need to install
additional requirements if you want to run tests or build documentation.
Some SDP processors depend on the NeMo toolkit (ASR, NLP parts) and NeMo Text Processing. Please follow NeMo installation instructions and NeMo Text Processing installation instructions if you need to use such processors.
We welcome community contributions! Please refer to the CONTRIBUTING.md for the process.