@george.l
I understand your concerns regarding the white noise issue on outbound calls made via Twilio and the potential impact on performance. To address this:
1. To check for white noise, we would typically need to analyze the audio quality of the calls. This could involve reviewing call recordings or using specialized monitoring tools to detect and measure the noise levels. Unfortunately, if the noise isn't present in the recordings or transcripts, it may be challenging to diagnose using Vapi's tools alone.
2. To minimize white noise, you could try the following steps:
- Ensure that the issue isn't originating from the caller's environment or equipment.
- Check if the issue persists across different calls and if it's specific to certain destinations or numbers.
- Contact Twilio support to report the issue, as they may have more insights into potential network or hardware-related causes.
Regarding the call ID you provided (98c8050f-79e8-44b3-8b1d-cbe4dfb0c92f), I would recommend reaching out to Twilio support with this information, as they would be better equipped to investigate the specific call and provide a more detailed analysis.
As for the real-time API and incorporating a success evaluation process, your feedback is invaluable. While I don't have specific information on future plans for the real-time API, I can assure you that Vapi is committed to continuous improvement and values suggestions that can enhance the platform's capabilities. Incorporating audio analysis for factors like tonality and naturalness is indeed a compelling idea and could provide significant benefits for sales and customer engagement.
If you have any further questions or need assistance with other issues, please let me know. If you'd like to report the white noise issue to Twilio or provide feedback on the real-time API, I can guide you on how to proceed.