Speech To Text with IBM Watson | Python - codeayan

The video begins with an introduction to converting speech to text using IBM Watson's Speech to Text API. The presenter explains the initial steps, which include logging into an IBM Cloud account and availing the Speech to Text service. They guide viewers on how to select the free plan, create a service, and access the necessary credentials such as the API key and endpoint URL. The presenter then sets up the environment by installing the required Python modules and preparing to write the main code using Visual Studio Code.

In this segment, the focus is on setting up the coding environment and writing the Python script to utilize IBM Watson's Speech to Text API. The presenter demonstrates how to install the necessary Python modules, import them into the script, and create variables for the API URL and key. They proceed to authenticate the service and set the service URL. The presenter then opens an audio file named 'testaudio.wav' and writes code to interact with the API, aiming to convert the audio file's speech into text. After encountering a minor error, they correct it and successfully run the code to obtain the recognized text, which is then printed out.

The video concludes with a summary of the process and an invitation for viewers to find more information in the video description. The presenter promises to include a detailed explanation of each line of code and a link to the GitHub repository where the code can be found. This allows viewers to delve deeper into the technical aspects and access the code for their own use. The video ends with a thank you note to the viewers, accompanied by a closing musical note.