I found the outputs obtained after the transcription and the translation very impressive! This AI tool is surely helping a lot of people right now. In this case study, it was applied with youtube videos, but you can also try podcasts, zoom calls and conferences. That’s it! I hope that this tutorial has helped you on getting started with Whisper API. What are these rectangles? Take this box here. In blue we have the non-holiday days, in orange the holidays. How do you read this? Here on the X there is the season, coded in numerical terms. And then I want to distinguish these box plots based on whether it is a holiday day or not. On Y we put the count of the bikes that are rented. We always take the data from the data frame. One is the box plot, which allows to see the distribution in terms of median, first quarter and third quarter.
#Python text to voice how to#
We also see some graphs in a statistical style, so we should also understand how to read them.
#Python text to voice install#
To install it, you need the following command line: We can directly download this video using pytube library. For example, let’s suppose that we would like to transcribe the video “3 Mind-blowing AI Tools”. Then, click the button “Create new API key” and copy the new create API key on your Python code.įirst, let’s download a youtube video of Kevin Stratvert, a very popular YouTuber that helps students from all over the world to master technology and improve skills by learning tools, like Power BI, video editing and AI products. After you entered, click on your username and press the option “View API keys”. If you still don’t have the account, you need to create it. First, go and log in to the OpenAI API website. Like other OpenAI products, there is an API to get access to these speech recognition services, allowing developers and data scientists to integrate Whisper into their platforms and apps.īefore going further, you need a few steps to get access to Whisper API. Furthermore, it can translate any language audio into English. If you are interested to understand if your language is included, check here. It doesn’t limit handling English, but its ability is extended to more than 50 languages.
It belongs to the GPT-3 family and has become very popular for its ability to transcribe audio into text with very high accuracy. Whisper is a model based on neural networks developed by OpenAI to solve speech-to-text tasks.
The famous research company for ChatGPT, OpenAI, launched Whisper API for speech-to-text conversation! With a few lines of Python code, you can call this powerful speech recognition model, get the thought off of your mind and focus on other activities, like making practice with data science projects and improving your portfolio.
#Python text to voice manual#
Now, manual transcription and translation are only a memory. Furthermore, it wasn’t my native language and I had to drag every sentence into google translate to convert it into Italian. Illustration by Author | Source: flaticonĭid you accumulate a lot of recordings, but you don’t have any energy to start to listen and transcribe them? When I was still a student, I remember that I had to struggle every day with listening hours and hours of recorded lessons and most of my time was taken away from transcription.
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