Match your different voice volumes with anger levels. Once any of the level is detected you will be notified about that with a cool character face. By using smart settings your voice will sound for other members on the call different.
Anger control during online communication
Match your different voice volumes with anger levels. Once any of the level is detected you will be notified about that with a cool character face. By using smart settings your voice will sound for other members on the call different.
Hello, Product Hunters! 👋🏻 Our team was working hard, and we are finally ready to share with you our product, Voicedger. 💻 What is Voicedger This is a MacOS application that might help you to control your anger during online communication. ⚙️ How it works Currently, Voicedger works only by detecting your different voice volumes and matching them with 4 anger levels. That’s how you will be notified that you need to calm down. We are not using any ML or AI models, yet. It is in progress.
I recently had the opportunity to try out the Voicedger for measuring my voice during meetings, and I must say, I'm thoroughly impressed. Not only does it offer a unique and innovative approach to understanding our emotional responses, but its accuracy is truly remarkable. Throughout my meetings, I found the application to be incredibly intuitive and seamlessly integrated into my workflow, providing valuable insights into my emotional state in real-time. Additionally, its user-friendly interface
Looks great, just keep going guys!
I had the opportunity to try the Voicedger in a test mode. Wow,.. it’s amazing. I’m pretty sure the app will be useful for all types of users at work.
Voicedger's design is really cool.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.