Offered By: IBM

Easy Speech-to-Text with Python

This project explores the multilingual automatic speech recognition (ASR) system and the architecture of signal processing using Python. Today, ASR systems are available through multiple sources, including IBM Watson® Speech to Text, and some publicly available systems through Open AI.

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Artificial Intelligence

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At a Glance

This project explores the multilingual automatic speech recognition (ASR) system and the architecture of signal processing using Python. Today, ASR systems are available through multiple sources, including IBM Watson® Speech to Text, and some publicly available systems through Open AI.

Why you should do this Guided Project

Let’s say you are a podcast creator, and you want to transcribe your podcast, so that it can be translated into multiple languages or so that hearing impaired people can read your content. Additionally, let’s say you want to improve the discovery of your podcasts through search engine optimization. Transcribing your podcast will enable search engines to index the text, making it easier to find it. 


The purpose of this Guided Project is to introduce you to ASR (automatic speech recognition) system, to understand how the signal processing works, the architecture of a transformer model behind ASR and some examples on how to easily recognize, transcribe and translate some of your audio and video files, using publicly available ASR tool.


A Look at the Project Ahead

After completing this project, you will be able to:  
  • understand how signal processing works
  • load audio file and detect the spoken language
  • transcribe and translate an audio/YouTube file

What You'll Need

You just need a web browser!  Basic Python programming knowledge is recommended but it is not required. 
Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the Cloud IDE and Python runtimes that we offer as part of the IBM Skills Network Labs environment. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Estimated Effort

30 min

Level

Intermediate

Skills You Will Learn

Python, Data Science, Machine Learning, Data Analysis, Embeddable AI, PyTorch

Language

English

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