vstar
11/14/2024, 9:22 PMVapi
11/14/2024, 9:25 PMVapi
11/14/2024, 9:25 PMmachineDetectionTimeout
, machineDetectionSpeechThreshold
, machineDetectionSpeechEndThreshold
, and machineDetectionSilenceTimeout
parameters based on the patterns observed in the call logs.
3. **Custom Logic**: Implement custom logic to handle phrases commonly found in voicemail greetings that may not trigger the standard detection mechanisms.
4. **Feedback Loop**: Use the outcomes of the calls to continuously improve the detection algorithm. This could involve adjusting the settings or training a machine learning model if applicable.
5. **Cost Management**: To address the cost concerns, we can explore options such as shorter timeouts or quicker hang-up mechanisms once a voicemail is detected.
Since you've provided specific call IDs, I can start by reviewing the logs for those calls to identify any patterns or issues. Please let me know if you would like me to proceed with this analysis, or if there's anything else I can assist you with.Vapi
11/14/2024, 9:25 PMvstar
11/14/2024, 9:41 PMvstar
11/14/2024, 9:42 PMvstar
11/15/2024, 1:44 AMVapi
11/15/2024, 1:44 AMmachineDetectionTimeout
to minimize the time spent waiting for voicemail detection.
- **Billing Plan Review**: Check with your provider if there are more cost-effective billing plans or if they offer discounts for a high volume of calls.
2. **Custom Logic**:
- **Keyword Detection**: Implement additional logic to detect specific keywords or phrases that are common in voicemail messages, such as "not available" or "leave a message."
- **Speech Recognition**: Use speech-to-text services to transcribe the first few seconds of the call and analyze the transcript for voicemail indicators.
- **Machine Learning**: If you have access to a dataset of call outcomes, consider training a machine learning model to predict voicemail more accurately.
3. **Testing and Iteration**:
- **A/B Testing**: Run tests with different settings and logic to find the most effective configuration.
- **Continuous Monitoring**: Regularly review call outcomes to ensure that the system is performing as expected and make adjustments as needed.
If you have the ability to implement these changes, I would recommend starting with adjusting the detection settings and monitoring the results. If you need assistance with implementing custom logic or machine learning, you may need to consult with a developer or a data scientist.
For further assistance with specific issues related to the call IDs you've provided, please reach out to your voice API provider's support team. They should be able to provide more detailed insights into the calls and help you optimize your settings.vstar
11/15/2024, 1:45 AMvstar
11/15/2024, 8:12 AMShubham Bajaj
11/18/2024, 9:25 AMassistant
please change it to system
and then try again.Shubham Bajaj
11/18/2024, 9:26 AMlogs
šµ 08:10:51:778 Twilio Message:
{
"event": "stop",
"sequenceNumber": "323",
"streamSid": "",
"stop": {
"accountSid": "",
"callSid": ""
}
}
08:10:51:782 Close Requested. Wait for 2500ms for Transcript to Complete.Shubham Bajaj
11/18/2024, 9:41 AMShubham Bajaj
11/18/2024, 9:42 AM