@Omogen Hello! I'm sorry to hear that you're experiencing voice distortion issues with 11labs voices on VAPI. Let's address your concerns one by one: 1. **Reasons for Voice Distortion**: Voice distortion can occur due to various reasons, such as network issues, encoding/decoding errors, or problems with the voice synthesis itself. It's important to ensure that the network connection is stable and that the data is being transmitted correctly. 2. **Documentation and Advice**: While I don't have specific documentation on avoiding voice distortion, general best practices include ensuring a good internet connection, using high-quality audio inputs, and avoiding background noise when recording voice samples for cloning. 3. **VAPI and 11labs Voice Consumption**: VAPI typically consumes voice services through APIs, which may use different protocols such as HTTP, WebSocket, etc. The exact method of consumption can vary based on the implementation and the services provided by the voice provider. 4. **11labs Call IDs**: To assist you further with the 11labs team, I would need to perform a lookup to retrieve the specific 11labs IDs related to the calls you mentioned. However, I don't have the capability to directly access or retrieve 11labs call IDs. Please ask support for more info on this. For now, I recommend continuing the discussion with 11labs support, as they may be able to provide more insights into the voice distortion issue and offer solutions. If you have any other questions or need further assistance, feel free to ask!

@Omogen Your current style property is set to 0.8, which is quite high. This may lead to complications with most voices and could be even more pronounced in certain instances. It is generally advisable to set this value to 0.0. Should you wish to increase it, please be aware that the AI may occasionally produce hallucinations, exhibit greater instability, and become less predictable. Essentially, this adjustment aims to introduce a greater degree of humanity into the voice you are utilizing. While it often results in a more human-like performance and delivery, this enhancement comes at the expense of stability, making the AI more susceptible to such issues.