Create natural narratives with AI sounds using text-to-speech from Adobe Caintivate

Have you ever found yourself trapped in an endless cycle of recording, re-recording and editing the recording of e-learning courses? Or maybe you have to delay the release of the course because these last-minute script changes won’t work with your voice talent? If so, I’ll get some exciting news that this might just be your day!

Adobe Caintivate introduces an impressive AI-driven text-to-voice feature that significantly improves the workflow of course creators like ours. This tool converts closed subtitles into realistic, natural audio with just a few clicks – the result is very good!

Why is text-to-voice so valuable

Traditionally creating voiceovers is resource-intensive, time-consuming, and often expensive. You need to hire a voice actor, schedule a recording session, and then complete the whole process again if you need an update. This becomes even more challenging when creating multilingual courses.

Using Adobe Caintivate’s text-to-speech feature, you can:

• Produce a professional narrative immediately.
• Choose from a wide range of AI sounds with different accents, languages, and tones.
• Save a lot of time and money.
• Update the audio effortlessly when the content changes.
• Create consistent voiceovers throughout the course.

Impressive sound choice

What makes this particularly powerful is the range of available voice options. You can choose:

• Multiple languages ​​(English, French, Korean, etc.)
• Different genders (male and female voices)
• Various accents and area variations
• Different tones and styles match the personality of the course

This means you can choose a voice that really aligns with the tone of the content and the audience’s preferences. Teach technical courses? Choose a more authoritative voice. Create casual, friendly learning experiences? There is also a passionate voice of conversation!

How to implement text-to-voice in a course

Using this feature is very simple. Here is a quick walkthrough:

1. Select the slide or text subtitle to add the narrative.
2. Navigate to Audio Inspector.
3. Click Import Audio and select Generate Text to Voice.
4. Select your favorite language and voice from the available options.
5. Customize pacing and pronunciation as needed.
6. Click Generate Audio to create your voiceover.

What’s really cool is that you can assign different voice proxy to different subtitles. This means you can create conversations between characters or differentiate between main content and examples – add another dimension to the course.

Benefits beyond convenience

While saving time and cost are obvious benefits, other advantages may not be obvious:

• Consistent quality: Each narrative maintains the same level of quality, tone and volume – this can be difficult to achieve through multiple recording sessions.
• Simple update: Change a word in your script? no problem! You can regenerate the segment without re-recording the entire dubbing.
• Accessibility improvementss: For learners who benefit from audio and visual content, with synchronized subtitles and audio, the learning experience can be enhanced.
• Globally: Creating a course version in multiple languages ​​becomes more feasible when you don’t need to find a voice talent for each language.

Real-world applications

I’ve seen this feature transform the workflow for various content creators:

The corporate training team uses different voices to learn based on scenarios, creating realistic workplace conversations without hiring multiple voice actors.

A university professor created course material in three languages ​​so international students usually don’t need a large budget.

A solo e-learning developer is able to eliminate back and forth deadlines through voice, resulting in a professional narrative.

Best practices for obtaining natural results

While the sound of AI is impressive, here are some tips for getting the most natural results:

• Use appropriate punctuation to control rhythm and focus.
• Divide long-term sentences into shorter sentences for a more natural speech.
• When creating multilingual content, test the audio you generate with your native speaker.
• Consider the nuances of culture and localization needs, not just translation.
• Use technical terms or names that may be pronounced incorrectly.

The future is of course a narrative

In recent years, the quality of AI sound has improved dramatically, and the situation is getting better and better. What sounds like now before robots and unnatural can be mistaken for human narratives, especially when properly configured.

This does not mean that human voice actors will disappear from e-learning. There will always be projects that benefit from the unique quality and emotional connection of human narratives. But for many daily course development needs, AI-driven text-to-voice provides an efficient, high-quality alternative that is hard to ignore.

Try it yourself!

If you are an Adobe-obsessed user, I highly recommend you try this feature. You may be surprised at the naturalness of the results and the time saved in the production process is invaluable.

Have you tried using AI sound in an e-learning project? I would love to hear what sounds are best for you? Any clever way do you use multiple sounds to enhance your learning experience?