itspoma / audio-fingerprint-identifying-python Goto Github PK

not working

original
from libs.reader_microphone import FileReader

song = None
seconds = 5

r = FileReader(123)
r.recognize(seconds=seconds)

print(song)

is going to be ?????

from libs.reader_file import FileReader

song = None
seconds = 5

r = FileReader(123)
#r.recognize(s=5)

print(song)

Hello!
Thank you so much for your project!

Sorry to bother you guys.

But i've been trying since the last week to get it to show the sound frequency in Hz (not an spectrum, just the Hz value) on console while recording but no success yet.

I think i need to do modifications in the recognize-from-microphone.py or the reader_microphone.py or the visualiser_console.py.

Can someone help me? Thank you in advance!

@itspoma

I forked this repo and updated the python files to Python 3.6.
But on running the command make fingerprint-songs

I get these errors.

Traceback (most recent call last):
  File "collect-fingerprints-of-songs.py", line 54, in <module>
    channel_hashes = set(channel_hashes)
  File "/home/executable/Desktop/audio-fingerprint-identifying-python/libs/fingerprint.py", line 168, in generate_hashes
    h = hashlib.sha1("%s|%s|%s" % (str(freq1), str(freq2), str(t_delta)))
TypeError: Unicode-objects must be encoded before hashing
sqlite - connection has been closed
make: *** [Makefile:19: fingerprint-songs] Error 1

I am following
https://ourcodeworld.com/articles/read/973/creating-your-own-shazam-identify-songs-with-python-through-audio-fingerprinting-in-ubuntu-18-04

When I run python collect-fingerprints-of-songs.py

I get

sqlite - connection opened
 * id=1 channels=2: 03 Award Tour.mp3
   new song, going to analyze..
   fingerprinting channel 1/2
Killed

Any thoughts on what I might be doing wrong?

Hi i got this issue and i don't know how to solve it i hope you can help me

this project is not working for me and I am using python3

how to setting up with mongodb ?

Hi, i want to fingerprint multiple sounds from microphone.
i used python this python module but it can't recognize multiple sounds that play continuously.
is there any solution to recognize multiple sounds in one record ?

thanks.

It shows me the next error:

MacBook-Pro-de-Jesus:audio-fingerprint-identifying-python jesushedo$ python collect-fingerprints-of-songs.py
sqlite - connection opened
Traceback (most recent call last):
File "collect-fingerprints-of-songs.py", line 24, in
song = db.get_song_by_filehash(audio['file_hash'])
File "/Users/jesushedo/Desktop/audio-fingerprint-identifying-python/libs/db.py", line 15, in get_song_by_filehash
"filehash": filehash
File "/Users/jesushedo/Desktop/audio-fingerprint-identifying-python/libs/db_sqlite.py", line 61, in findOne
return self.executeOne(select['query'], select['values'])
File "/Users/jesushedo/Desktop/audio-fingerprint-identifying-python/libs/db_sqlite.py", line 34, in executeOne
self.cur.execute(query, values)
sqlite3.OperationalError: no such table: songs
sqlite - connection has been closed

Hello,
This project does fingerprint matching after sound is been fully recorded. But can we perform live monitoring of the sounds just the way shazam app does, If yes can you please guide me on same.

Hi,
Nice projects 👏!

It's hard to test though, as there is no clean list of dependencies (I had to try, see that module X is missing, run pip install X, then try again, like 5 times…).
Could you write a requirements.txt please?
Thanks!

Hi i keep trying to run the 'make fingerprint-songs' command but keep getting this error.

root@programmer-virtual-machine:~/Desktop/audio-fingerprint-identifying-python# make fingerprint-songs sqlite - connection opened Traceback (most recent call last): File "collect-fingerprints-of-songs.py", line 25, in <module> song = db.get_song_by_filehash(audio['file_hash']) File "/home/programmer/Desktop/audio-fingerprint-identifying-python/libs/db.py", line 15, in get_song_by_filehash "filehash": filehash File "/home/programmer/Desktop/audio-fingerprint-identifying-python/libs/db_sqlite.py", line 61, in findOne return self.executeOne(select['query'], select['values']) File "/home/programmer/Desktop/audio-fingerprint-identifying-python/libs/db_sqlite.py", line 34, in executeOne self.cur.execute(query, values) sqlite3.OperationalError: no such table: songs sqlite - connection has been closed Makefile:19: recipe for target 'fingerprint-songs' failed make: *** [fingerprint-songs] Error 1 root@programmer-:~/Desktop/audio-fingerprint-identifying-python#

Hello,
I try to test "make recognize-file filepath".
But it didn't work.
Is it possible recognize from mp3 file?
Thanks

Ive beet getting the following error whenever i try to recognize from a file! Any ideas how to fix this? or what the problem might be

Traceback (most recent call last):
File "recognize-from-file.py", line 7, in
r.recognize(seconds=seconds)
TypeError: recognize() got an unexpected keyword argument 'seconds'
Makefile:25: recipe for target 'recognize-file' failed
make: *** [recognize-file] Error 1

I'm following the set-up instructions. I try make clean reset and get this error.

Traceback (most recent call last):
  File "reset-database.py", line 2, in <module>
    from libs.db_sqlite import SqliteDatabase
  File "/eric/Desktop/Audio fingerprint/audio-fingerprint-identifying-python-master/libs/db_sqlite.py", line 1, in <module>
    from db import Database
ImportError: cannot import name 'Database' from 'db' (unknown location)
make: *** [Makefile:10: reset] Error 1

I assume I'm doing something in the wrong order, but db is an empty folder. Just unsure what I'm missing.

The problem occurs when we try to execute the collect fingerprint file
Traceback (most recent call last):
File "C:/Users/BARRETT/Desktop/audio-fingerprint-identifying-python-master/collect-fingerprints-of-songs.py", line 24, in
audio = reader.parse_audio()
File "C:\Users\BARRETT\Desktop\audio-fingerprint-identifying-python-master\libs\reader_file.py", line 34, in parse_audio
audiofile = AudioSegment.from_file(self.filename)
File "C:\Python27\lib\site-packages\pydub\audio_segment.py", line 505, in from_file
p = subprocess.Popen(conversion_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
File "C:\Python27\lib\subprocess.py", line 672, in init
errread, errwrite)
File "C:\Python27\lib\subprocess.py", line 882, in _execute_child
startupinfo)
WindowsError: [Error 2] The system cannot find the file specified

KeyError: 'db.file'
Exception AttributeError: "'SqliteDatabase' object has no attribute 'conn'" in <bound method SqliteDatabase.del of <libs.db_sqlite.SqliteDatabase object at 0x035828F0>> ignored

Could you help me ?

Traceback (most recent call last):
File "/home/prosper/Dev/audio-fingerprint-identifying-python/reset-database.py", line 2, in
from libs.db_sqlite import SqliteDatabase
File "/home/prosper/Dev/audio-fingerprint-identifying-python/libs/db_sqlite.py", line 1, in
from db import Database
ImportError: cannot import name 'Database' from 'db' (unknown location)
make: *** [Makefile:10 : reset] Erreur 1

What's wrong please ?

You project seems very interesting, could you add a license?

By the way, I am evaluating some audio fingerprinting libraries and most of them use MIT License, however a few use GPL license.

Traceback (most recent call last):
  File "collect-fingerprints-of-songs.py", line 53, in <module>
    channel_hashes = fingerprint.fingerprint(channel, Fs=audio['Fs'], plots=config['fingerprint.show_plots'])
  File "audio-fingerprint-identifying-python/libs/fingerprint.py", line 95, in fingerprint
    local_maxima = get_2D_peaks(arr2D, plot=plots, amp_min=amp_min)
  File "audio-fingerprint-identifying-python/libs/fingerprint.py", line 115, in get_2D_peaks
    detected_peaks = local_max - eroded_background
TypeError: numpy boolean subtract, the `-` operator, is deprecated, use the bitwise_xor, the `^` operator, or the logic al_xor function instead.

With most up-to date numpy on Python 2.

Hi,
I'm interested in finding near-duplicate audio files. My dataset is about 3000 thousands short audio files, between 0.5 seconds to 5 seconds. Unlike Shazam, both the "target" audio (i.e. the songs in Shazam's case) and the user input are short, and both might contain noise.

Can this library help?
If so, are there any recommendations for tuning parameters?

N.B - if a file is matched to multiple other files, it's fine - I have a less efficient algorithm that can verify which match is correct. In other words, I can handle some amount of false positives, but I don't want false negatives.

Does this app need any permission to access the micro? It does not pick up any sounds, shows samples at 0 while reading.

Hi,
Can you guide me to make changes to find the number of times the recorded audio repeats in the source(any audio from database)?

Thanks