AI in medical services: Save time for medical care providers by automating tasks such as entering data into Electronic Medical Record.Watson Speech customization: Ability to further train the model to improve the accuracy for your special domain.Watson Speech recognition: Advanced models for processing audio signals and language context can accurately transcribe spoken voice into text.React: A JavaScript library for building User Interfaces.Node.js: An open-source JavaScript run-time environment for executing server-side JavaScript code.IBM Watson Speech to Text: easily convert audio and voice into written text for quick understanding of content.Several users can work on the same custom model at the same time.If the text transcription is not correct, the user can make corrections and resubmit the updated data for additional training.The user interactively tests the new custom model by submitting audio files and verifying the text transcription returned from the model.The user requests the custom data be used to create and train a language and acoustic Watson Speech to Text model.The user interacts with the Watson Speech to Text service via the provided application UI or by executing command line Python scripts.The user downloads the custom medical dictation data set from ezDI and prepares the audio and text data for training.Enhance the model with continuous user feedback.Train a custom speech-to-text model with a data set.
Work with the Watson Speech to Text service through API calls.Prepare audio data and transcription text for training a speech-to-text model.
AZURE SPEECH TO TEXT CUSTOM MODEL CODE
When the reader has completed this code pattern, they will understand how to: The data is provided by ezDI and includes 16 hours of medical dictation in both audio and text files. In this example, we will use a medical speech data set to illustrate the process. To improve the accuracy of the speech-to-text service, you can leverage transfer learning by training the existing AI model with new data from your domain. However, like other Cloud speech services, it was trained with general conversational speech for general use therefore it may not perform well in specialized domains such as medicine, law, sports, etc. The Watson Speech to Text service is among the best in the industry. In this code pattern, we will create a custom speech to text model. Create a custom Watson Speech to Text model using specialized domain data