Accurate Interview Transcripts for Journalists

From Monotonous manual work to Swift AI:

Revamping Interview Transcripts with Banafo Speech To Text

Interview Transcripts

In the evolving landscape of digital journalism, ensuring the accurate and swift dissemination of information is pivotal. Journalists, ever at the forefront, have traditionally relied on firsthand interviews to foster a well-rounded understanding of current affairs. The journey from conducting interviews to penning down insightful articles, however, has often been laden with mundane tasks that can now be effortlessly automated using AI-powered tools like Banafo.

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Speech to text API – the #1 budget transcript generating solution

Banafo speech to text API

Banafo Speech to text API is now available for your own solutions.

Already familiar with the power of Banafo and what it can do? You are recording your meetings, getting auto generated transcripts for your conversations and taking advantage of the Banafo browser extension to record your work related meetings via Zoom, Teams, Meet?

Now, you can use the power of our language models for some of the most budget friendly solutions out there!

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Annoyingly tedious Speech To Text inference Steps

Did you ever wonder what it takes to produce the Banafo Offline Speech to Text Transcripts ?

This is how we do it behind the scenes:

source: https://en.wikipedia.org/wiki/Infinite_monkey_theorem#/media/File:Chimpanzee_seated_at_typewriter.jpg

While the results for English were pretty good, we were unable to keep up training the monkeys for other languages so here is how we do it nowadays (please note that we omit some proprietary parts that we consider our trade secrets 😉

Way too many parts are needed and as the experience tells us, when you try it with enough voices, accents, compression formats something eventually will go wrong in every single one of them.

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Best 6 open source Speech To Text frameworks

best-6-open-source-speech-to-text-frameworks

An overview of the opensource speech to text frameworks and toolkits available in 2022. Where to get them, how hard are they to use and what languages do they support out of the box.

We at Banafo are constantly trying newer and better approaches for the automatic speech recognition, a crucial component in providing our users with the highest quality transcripts on the market.

The frameworks in this article are all tools we use or used, they mostly build on top of Pytorch or Arrayfire, this article is just a small overview of the pro’s and con’s, more detailed instructions on how to set configure or use them will be provided in future articles.

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