This page contains the information about the Punctuation and Capitalization collection with TLT.
Automatic Speech Recognition (ASR) systems typically generate text with no punctuation and capitalization of the words. Besides being hard to read, the ASR output could be an input to named entity recognition, machine translation or text-to-speech models. If the input text has punctuation and words are capitalized correctly, this could potentially boost the performance of such models.
This collection contains end-to-end neural models that solve Punctuation and Capitalization Tasks using the Transfer Learning Toolkit (TLT).
For instructions on how to use a model, please see its corresponding model card page.
License to use these models is covered by the Model EULA. By downloading the model checkpoints, you accept the terms and conditions of these licenses.
NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.