18.2 azspeech quick start
20211219 Below we share some examples, showing the various commands supported by the package.
Let’s generate some audio from text that is supplied on the command line:
ml synthesize azspeech Welcome my friend, welcome to the machine.
The text may also be from a text file:
ml synthesize azspeech --input=short.txt
Convert audio recorded from the computer’s microphone to text:
ml transcribe azspeech
Next, download a sample audio file to try out the transcribe command.
ml transcribe azspeech --input=harvard.wav
Here’s an example of audio in Indonesian, specifically identified as such to improved the transcription.
ml transcribe azspeech --lang=id-ID --input=indonews.wav
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0