Speech To Text with IBM Watson | Python - codeayan
TLDRIn this tutorial, viewers learn to convert speech to text using IBM Watson's speech to text API. The process begins with creating an IBM Cloud account and setting up the speech to text service with a free plan. After obtaining API credentials, the tutorial demonstrates writing Python code to utilize the IBM Watson SDK. It involves installing necessary modules, authenticating with the API key, and finally converting a .wav audio file to text. The video also includes a step-by-step guide on fixing common errors and concludes with a successful transcription of the audio file, showcasing the power of IBM Watson's speech recognition capabilities.
Takeaways
- The video teaches how to convert speech to text using IBM Watson's Speech to Text API.
- To get started, you need an IBM Cloud account, which can be created easily.
- After logging in, you should avail the Speech to Text service and choose the free plan.
- You will receive credentials including an API key and endpoint URL for the service.
- The main coding is done in Python, using Visual Studio Code as the development environment.
- An audio file named 'testaudio.wav' is used to demonstrate the speech to text conversion.
- The IBM Watson package needs to be installed using pip, and specific modules are imported for the task.
- Variables for API URL and API key are created and populated with the credentials from the IBM Cloud.
- Authentication is set up using the API key, and the service URL is configured for the Speech to Text API.
- The audio file is opened in binary mode to be processed by the IBM Watson Speech to Text service.
- The 'recognize' function is called to convert the audio file's speech into text.
- The recognized text is extracted and printed, demonstrating the conversion of the audio file's speech to text.
- The video description will include a detailed explanation of the code and a GitHub repository link for further reference.
Q & A
What is the main topic of the video?
-The main topic of the video is converting speech to text using IBM Watson Speech to Text API.
How does one begin to use IBM Watson Speech to Text API?
-To begin using IBM Watson Speech to Text API, one needs to open an IBM Cloud account, log in, and avail the Speech to Text service by creating a new service instance.
What is the cost of using the IBM Watson Speech to Text API under the free plan?
-The free plan for IBM Watson Speech to Text API does not require any payment.
What are the credentials required to use the IBM Watson Speech to Text service?
-The credentials required include an API key and an endpoint URL.
What programming language is used in the video to demonstrate the speech to text conversion?
-The programming language used in the video to demonstrate the speech to text conversion is Python.
Which extension does the video recommend installing in Visual Studio Code for the task?
-The video recommends installing the Jupiter extension in Visual Studio Code.
What is the file format of the audio file used in the video?
-The file format of the audio file used in the video is .wav.
What is the purpose of the 'IBM Watson' module that needs to be installed in the video?
-The 'IBM Watson' module is used to access the Speech to Text V1 API and perform the speech to text conversion.
What is the role of 'authenticator' in the code provided in the video?
-The 'authenticator' is used for authentication purposes when using the IBM Watson service to ensure that a valid user is accessing it.
How does the code handle the audio file to convert speech to text?
-The code opens the audio file in binary mode, and then uses the IBM Watson Speech to Text API to recognize the speech and convert it to text.
What is the final output of the code in the video?
-The final output of the code is the recognized text from the speech, which is printed out as the text version of the speech.
Outlines
🚀 Introduction to IBM Watson Speech to Text API
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.
🔧 Setting Up and Coding with IBM Watson Speech to Text
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.
📚 Conclusion and Additional Resources
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.
Mindmap
Keywords
💡IBM Watson
💡Speech to Text API
💡IBM Cloud account
💡Free plan
💡API Key
💡Endpoint URL
💡
💡Visual Studio Code
💡Jupyter extension
💡Python
💡pip install
💡Authentication
💡Audio file
Highlights
Introduction to converting speech to text using IBM Watson Speech to Text API
Accessing and creating an IBM Cloud account similar to social media platforms
Navigating the IBM Cloud dashboard to avail the Speech to Text service
Choosing the free plan for IBM Watson Speech to Text API
Managing the service to access API key and endpoint URL
Setting up the main code in Python using Visual Studio Code
Playing the test audio file to demonstrate speech to text conversion
Installing the Jupyter extension in Visual Studio Code
Creating a Python file for the speech to text conversion script
Installing the IBM Watson package using pip
Importing necessary modules from IBM Watson for speech recognition
Using IM Authenticator for authentication with IBM services
Creating variables to store API URL and API key
Authenticating with the API key to ensure valid user access
Setting the service URL for the speech to text conversion
Opening the audio file in binary mode for processing
Using the recognize function to convert speech to text
Extracting and storing the recognized text from the speech
Printing the recognized text to verify successful conversion
Providing detailed code explanation and GitHub repository link in the video description
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