Summary of Boosting Speech-to-Text API accuracy

00:00:00 - 00:05:00

This video discusses how to improve the accuracy of speech-to-text API recognition by customizing the model to your specific domain. It provides an example of how to improve accuracy for a restaurant listing by boosting phrases related to locations.

• 00:00:00 This 1-minute video discusses how to boost speech-to-text API accuracy without having to train your own custom model. The key points to take away from the video are: -Using pre-trained models can be helpful, but certain nuances with domain-specific knowledge can be difficult to capture by default. -You can improve accuracy by customizing the model to your specific domain, by providing contextual information, and by tweaking the weights to account for specific word error rates.
• 00:05:00 This video provides an overview of how to boost speech-to-text API accuracy by including specific terms and phrases into the recognition configuration. The example demonstrates how to improve accuracy for a restaurant listing by boosting phrases related to locations.