Define accuracy level of each request to accept or reject the outcome
It has been observed on rigorous testing that the accuracy level of speaker identification api is not that handsome. It is giving erroneous output in both positive and negative scenarios. In the positive scenario when same user with different voice samples are tested against each other its not giving expected results many times. For negative scenario when different users voice samples are tested against each other it wrongly identifies as same user on many occasions. I feel adding a accuracy level of the output received will help the end user to an extend to decide whether to accept the outcome or not.
Thanks for reaching out. As part of the response we return confidence level parameter that can take one of the following values (high, normal & low). Let me know if you need further assistance.