Speech Recognition: English Medical N-Gram Language Model

Model Overview

When deployed, the ASR engine can optionally condition the transcript output on n-gram language models. The model provided here is developed for conversational healthcare-related speech. It contains English-language text data from:

• PubMed abstracts
• Medical-themed reddit discussions
• Fisher conversational speech corpus transcripts
• Switchboard conversational speech corpus transcripts

Model Architecture

The model is a simple 4-gram language model trained with Kneser-Ney smoothing using KenLM.

How to Use This Model

The model provided here is in KenLM binary format. To use this language model in conjunction with a deployed speech recognition service in Jarvis, please consult the Jarvis documentation.

License

By downloading and using the models and resources packaged here, you would be accepting the terms of the Jarvis license.

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.