0
$\begingroup$

This question already has an answer here:

this is for an application in which passwords are stored in the form of audio inputs . In order to provide user access , the password(in audio form) will be matched with already stored password(audio only) in the database . I wanted to know how to measure the extent of similarity in two audio patterns . the audio patterns can be a clap sequence , knock sequence , whistle etc

$\endgroup$

marked as duplicate by lennon310, penelope, jonsca, Matt L., Peter K. Mar 20 '14 at 1:44

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

2
$\begingroup$

Look up acoustic fingerprint or audio fingerprinting and dynamic-time warping for some basic technologies used to compare audio files.

$\endgroup$
1
$\begingroup$

You could also take a look at pattern recognition in the time-frequency domain. This would imply to take the entire audio signal and perform time-frequency analysis (finding a pro version of the spectrogram) and analize that as an image. If the two time-frequency representations match for the audio files, it is very likely that they are the same password.

$\endgroup$

Not the answer you're looking for? Browse other questions tagged or ask your own question.