Speech To Text with IBM Watson | Python - codeayan

codeayan
20 Jun 202310:36

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

00:00

🚀 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.

05:01

🔧 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.

10:02

📚 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

IBM Watson is a suite of artificial intelligence technologies developed by IBM. In the context of the video, it is used to refer to the IBM Watson Speech to Text API, which is a service that can convert spoken language into written text. This is the core technology around which the video's tutorial is centered.

💡Speech to Text API

The Speech to Text API is a specific application programming interface provided by IBM Watson that enables developers to integrate speech recognition capabilities into their applications. In the video, the API is used to demonstrate how to convert an audio file into a text transcript.

💡IBM Cloud account

An IBM Cloud account is a user account on the IBM Cloud platform, which is necessary to access and utilize IBM's cloud-based services, including the Watson Speech to Text API. The video instructs viewers on how to create such an account if they do not already have one.

💡Free plan

The free plan refers to a tier of service that IBM offers for its Watson Speech to Text API, which allows users to use the service without incurring costs. The video mentions choosing the free plan as an option for those who are just starting out or do not wish to pay for the service.

💡API Key

An API key is a unique identifier used in the context of software applications to authenticate the identity of the user or calling program to an API. In the video, the API key is mentioned as a crucial piece of information required to access and use the IBM Watson Speech to Text service.

💡Endpoint URL

The endpoint URL is the web address where an API is accessible. In the context of the video, the endpoint URL is provided by IBM for the Watson Speech to Text service and is used to establish a connection to the service for making API calls.

💡

💡Visual Studio Code

Visual Studio Code, often abbreviated as VS Code, is a popular source-code editor developed by Microsoft. It is mentioned in the video as the integrated development environment (IDE) used by the presenter to write and run the Python code for the speech-to-text conversion.

💡Jupyter extension

The Jupyter extension for Visual Studio Code is an add-on that allows users to run Jupyter notebooks within the VS Code environment. The video script refers to the installation of this extension, which is necessary for executing the Python code that utilizes the IBM Watson API.

💡Python

Python is a high-level, interpreted programming language known for its readability and versatility. In the video, Python is the chosen language for writing the script that interacts with the IBM Watson Speech to Text API to perform the conversion of speech to text.

💡pip install

The command 'pip install' is used in Python to install packages from the Python Package Index (PyPI). In the context of the video, it is used to install the IBM Watson module, which is required to interact with the Speech to Text service.

💡Authentication

Authentication in the context of the video refers to the process of verifying the identity of the user or application that is attempting to access the IBM Watson Speech to Text service. It is done through the use of an API key and is a necessary step before making API calls.

💡Audio file

An audio file, such as the 'testaudio.wav' mentioned in the video, is a digital file that contains a recording of sound. The video demonstrates how to use the IBM Watson Speech to Text API to convert the contents of an audio file into a text format.

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