Audio fingerprinting library (java)

Audio fingerprinting library (java)

By : Noha Elemary
Date : November 20 2020, 07:00 PM
Any of those help This open source project called musicg can help you
code :

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Loop for recognizing all files in a folder using Dejavu library for audio fingerprinting

Loop for recognizing all files in a folder using Dejavu library for audio fingerprinting

By : A.J.C.
Date : March 29 2020, 07:55 AM
seems to work fine No just create another .py file in the same directory as the dejavu folder. Don't alter the library code.
You probably want to do something like this:
code :
from dejavu import Dejavu
from dejavu.recognize import FileRecognizer
import os, fnmatch

def find_files(directory, pattern):
    for root, dirs, files in os.walk(directory):
        for basename in files:
            if fnmatch.fnmatch(basename, pattern):
                filename = os.path.join(root, basename)
                yield filename

config = {
     "database": {
         "host": "",
         "user": "root",
         "passwd": "Password123", 
         "db": "dejavu_db",
     "database_type" : "mysql",
     "fingerprint_limit" : 10

# create a dejavu object
djv = Dejavu(config)

# gather files to fingerprint
UNLABELED_AUDIO_DIR = "/home/me/music/unknown/"
PATTERN = "*.mp3"
audio_paths = find_files(UNLABELED_AUDIO_DIR, PATTERN)

# recognize them one at a time
original_file_to_song = {}
for path in audio_paths:
    print "Attempting to recognize %s..." % path
    song = djv.recognize(FileRecognizer, path)
    original_file_to_song[path] = song

# see the songs you've recognized
for path, song in original_file_to_song.iteritems():
    print "Audio file at: %s was recognized as %s" % (path, song)
Android: Audio Matching (Audio Fingerprinting)

Android: Audio Matching (Audio Fingerprinting)

By : Mars
Date : March 29 2020, 07:55 AM
Does that help You could compare the sound waves sample to sample (as numbers), then compute maximal, minimal, average difference, etc..
Measuring delay with audio fingerprinting (Java)

Measuring delay with audio fingerprinting (Java)

By : Zaher Mousa
Date : March 29 2020, 07:55 AM
This might help you Here's what I would do. I would create 2 HashMaps. Essentially you are mapping fingerprint data from your streams to a reply from System.nanoTime().
I would then create a "game-loop" that runs "forever", or until you don't want it to anymore, and each iteration I would take the fingerprint data from each stream and and check if either HashMap.keySet().contains(theFingerPrintData) from the opposite stream. If it does, you'll release it from the HashMap and do the math to find the delay like so:
code :
Map<FingerprintData, Long> stream1Timestamps = new HashMap<>();
Map<FingerprintData, Long> stream2Timestamps = new HashMap<>();

StreamClass stream1 = howEverYouFetchStream(1);
StreamClass stream2 = howEverYouFetchStream(2);

while(true /*or if you have conditional to terminate place it here*/){
     FingerprintData stream1fpd = stream1.getFingerprintData();
     FingerprintData stream2fpd = stream2.getFingerprintData();

         Long firstHeard = stream1Timestamps.get(stream2fpd);
         System.out.println("stream 2 is delayed:" +System.nanoTime()-firstHeard + " nanoseconds");
         stream2Timestamps.put(stream2fpd, System.nanoTime();

         Long firstHeard = stream2Timestamps.get(stream1fpd);
         System.out.println("stream 1 is delayed:" +System.nanoTime()-firstHeard + " nanoseconds");
         stream1Timestamps.put(stream1fpd, System.nanoTime();

Audio fingerprinting system in Java

Audio fingerprinting system in Java

By : learner 123
Date : March 29 2020, 07:55 AM
should help you out Sony Ericsson has a pure Java audio recognition app, called TrackID, on their new Android phone. It has also been available on J2ME and presumably other phones for a while. It was developed by Cybercom.
However, it doesn't generate a fingerprint — the audio data is sent to a remote server for identification. As you need to be online anyway to do track identification, I imagine most music recognition apps work in this way.
Audio Matching (Audio Fingerprinting)

Audio Matching (Audio Fingerprinting)

By : Damian Conde
Date : March 29 2020, 07:55 AM
this will help If you are aiming to compare an old recording of a user with a new call as it comes in, audio fingerprinting solutions like Dejavu in Python on a server or Echoprint in C++ won't help you. They are for doing recognition and retrieval on recorded audio segments plus noise. They cannot deal with the variabilites in human voice. See an explanation here.
If that's the case, what you are referring to is speaker recognition, which is much harder and involves quite a bit of machine learning. It would be tough to do this for a large corpus of users (especially offline on a phone), but for determining between a couple users, it might be doable.
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