Benefits of AI Text-to-Speech Voice Generators
I built my first eLearning course using AI text-to-speech voices recently. The SMEs shared that the content would likely change regularly. Using AI voices means I won’t need to record audio over and over again every time the script changes.
I used the Articulate neural voices built into Storyline. There was room for improvement in the quality of voices, but it was fine for this particular project because the explainer videos were all under one minute.
Some of the benefits to AI text-to-speech voices include:
They save time. I can produce and publish courses more quickly now. Also, I won’t have to open Audacity when a single word changes and edit the audio, and then plug the new audio into Camtasia/Storyline/etc.
I no longer have to record audio edits. After SME review, I go into the source file to make changes, and with the click of a single button the transcript, audio, and captions all update!
Team content can be more consistent. If a team agrees on a handful of the voices and uses them regularly, the results will sound the same no matter who produced the eLearning, rather than individuals using different equipment, or voices carried over from team members who left years ago.
Most of the tools translate the audio as well, which is useful for dubbing or offering options to a global audience. This makes your offerings more accessible.
There is less maintaining hardware and software, such as microphones and audio editing programs like Adobe Premiere Pro. One subscription does it all.
I’ve seen demos from lots of other vendors like Murf AI, ElevenLabs, WellSaid Labs, etc. and there are natural and conversational voices out there.
How has AI text-to-speech enhanced your eLearning development?
