TLT/Jarvis - Speech Recognition

Speech Recognition Collection

Overview

This collection contains end-to-end neural models for Automatic Speech Recognition (ASR) using TLT. The models in this collection can be used for transcribing segments of audio to text, and can be used immediately for fine-tuning, dataset evaluation, or transcription of individual audio files.

Available Models

For instructions on how to use a model, please see its corresponding model card page.

• Jasper
• QuartzNet
• Citrinet

License

By downloading and using the models and resources packaged with TLT Conversational AI, you would be accepting the terms of the Jarvis license

Suggested Reading

• More information about the Transfer Learning Toolkit can be found at the NVIDIA Developer Zone: https://developer.nvidia.com/transfer-learning-toolkit
• Read the TLT getting Started guide and release notes.
• More information about the experiment spec files can be found in the TLT User Guide

Ethical AI

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.