For example, we transcribed all our Free Flask Tutorial videos (+ a lot of testing), and spent only $2. The money side of the equation also was convenient. You can see an example of the final transcription from a Youtube video right here: (see the examples/ directory). The IBM Watson Text to Speech API provides natural-sounding, human voice audio thats converted from written text. On paper, the speech-to-text service from IBM Watson made a lot sense: just $0.023 per minute. We do A LOT of classes (4 per week), so a premium (human-driven) service was off the table. We wanted to go one step further and provide captions and transcripts for each video, and we started investigating options. All our classes from our online courses are recorded and stored privately on YouTube, in order to give our students the possibility to watch them in the future.
TLDR In this step by step guide we’ll show you how to transcribe an audio file using IBM Watson speech-to-text API and a little bit of Python.įrom day one we’ve tried to improve accessibility and provide convenience for all our students. How we use IBM Watson speech-to-text to transcribe our classes
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