Choosing Eleven Labs AI Voices & Understanding Expiration Dates
In the Zoom I covered how to properly select and manage AI voices using ElevenLabs to avoid issues with voices changing or expiring. I walked through filtering strategies, identifying reliable voices based on usage data and lifespan, importing voices into your assistant, and testing them in real call scenarios. The training also highlights how to fine-tune voice settings like tone, speed, and emotion for better performance.
Is it possible to pull in the stats of the voices, like in Evelen Labs?
-Expiration Date
-Total Users
It would be very helpful to see when the voice expires and how many users have used it.
🧠What You’ll Learn
-Why some AI voices change or stop working
-How ElevenLabs voice expiration works
-How to filter voices by gender, age, language, and style
-Using “Most Users” data to find reliable voices
-How to import voices using Voice ID or name
-Why voices sound different on calls vs preview
-How to adjust voice settings (temperature, speed, emotion)
-Best practices for testing voices before deployment
⚠️Action Steps
-Go into ElevenLabs and apply filters (gender, age, language, conversational style)
-Check voice lifespan (expiration timeframe) before choosing
-Sort by Most Users to find proven voices
-Copy the Voice ID or name and import into your assistant
-Test the voice with a live phone call immediately
-Adjust settings (temperature, speed, emotion) one step at a time
-Retest until the voice sounds natural and consistent
⏳ Quick Reference
0:00 - Why AI voices change or stop working
0:27 - Overview of voice selection inside the assistant
1:07 - Importance of voice expiration (ElevenLabs limitation)
1:36 - Navigating to ElevenLabs voice dashboard
1:59 - Setting up filters (gender, age, language, style)
2:25 - Selecting voice lifespan (critical insight)
3:08 - Using usage data (number of users) for reliability
3:40 - Sorting by most popular voices
4:15 - Voice differences between preview vs phone calls
5:25 - Copying Voice ID and importing voices
6:06 - Searching and matching voice names
6:58 - Handling duplicate or similar voices
7:27 - Testing voice via live call
8:18 - Adjusting voice settings (temperature, tone, speed)
9:07 - Incremental testing strategy
10:26 - Finding older/popular voices like “Emily”
11:11 - Importing and testing alternative voices
11:46 - Final thoughts on voice selection process
12:09 - Importance of continuous testing and validation