VIQ Solutions Inc. announced that it has filed two provisional patent applications with the United States Patent and Trademark Office (USPTO). The patents augment the Company's speech engine agnostic workflows, improving documentation accuracy and usability of documentation, for courts, insurance, law enforcement and media organizations across the globe. The first patent application is directed to the systems and methods for training domain-specific Automated Speech Recognition (ASR) language models.

The novel methods can be leveraged to form accurate speech recognition to easily manage nuances of domain-specific words, accented speech and languages, including mixed-language audio files, and document formatting requirements. The second patent application is directed to the automated selection of domain specific ASR models. This patent aims to protect the various mechanisms used to load static or dynamic DSLMs. The static model is used based on a pre-assigned setting and the dynamic methods utilize the Goodness Score or Artificial Intelligence Natural Language Understanding (NLU) to determine the context and domain of the audio, followed by a second pass using a DSLM creating profound ASR improvements in domain-specific verticals.

Both workflows utilize DSLMs to improve the quality of the draft transcript. DSLMs use a large database to create a baseline to create a new task-specific model that is being trained using the knowledge learned by the large language model. It leverages the knowledge learned during the training of the original model to improve the performance of the new model, resulting in increased efficiency, improved performance, and enhanced interpretability.