Answering Machine detection with machine learning.
Building a VAPI application that sends Text-To-Speech when an answering machine is detected.
For this solution, we built a machine learning algorithm that is able to detect when a call goes to voicemail by listening to the
beep sound with 96% accuracy. When the call is picked up by the answering machine, we perform a text-to-speech action(TTS) which is recorded by the answering machine.
After you deploy the application to Heroku, make a call to the purchased number for the application.
The application will ask to enter a phone number. Enter any phone number you like, as long as it is picked up by voicemail. The call will go to voicemail and the answering machine model will start listenting on the call.
When a beep is detected, the application performs a Text-To-Speech, with the phrase,
Answering Machine Detected, and the call will hangup.
Clone the github repo and run:
pip install -r requirements.txt
Create a .env file with the following
This open source project is supported by the Vonage Product and Developer Experience team on a best effort basis, issues should be raised in the GitHub repository.