IndexError: too many indices for array

[renbanford]

Hi, having issues with recognising a clip using this script.

This is the command I used:
python audfprint.py match --dbase db1.pklz SS9-18.wav

And this is the traceback I get:
Read fprints for 4864 files ( 25037164 hashes) from db1.pklz (2.75% dropped)
Traceback (most recent call last):
File "audfprint.py", line 490, in
main(sys.argv)
File "audfprint.py", line 473, in main
strip_prefix=args['--wavdir'])
File "audfprint.py", line 156, in do_cmd
msgs = matcher.file_match_to_msgs(analyzer, hash_tab, filename, num)
File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_match.py", line 379, in file_match_to_msgs
rslts, dur, nhash = self.match_file(analyzer, ht, qry, number)
File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_match.py", line 355, in match_file
q_hashes = analyzer.wavfile2hashes(filename)
File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_analyze.py", line 407, in wavfile2hashes
self.peaks2landmarks(peaklist)))
File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_analyze.py", line 89, in landmarks2hashes
hashes[:, 0] = landmarks[:, 0]
IndexError: too many indices for array

Time is of the essence here unfortunately, and any help would be appreciated 😄

[dpwe]

It looks like no landmarks were created. Is the file very short and/or very quiet? DAn.

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On Fri, Oct 19, 2018 at 2:20 AM Ben Ranford ***@***.***> wrote: Hi, having issues with recognising a clip using this script. *This is the command I used:* python audfprint.py match --dbase db1.pklz SS9-18.wav *And this is the traceback I get:* Read fprints for 4864 files ( 25037164 hashes) from db1.pklz (2.75% dropped) Traceback (most recent call last): File "audfprint.py", line 490, in main(sys.argv) File "audfprint.py", line 473, in main strip_prefix=args['--wavdir']) File "audfprint.py", line 156, in do_cmd msgs = matcher.file_match_to_msgs(analyzer, hash_tab, filename, num) File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_match.py", line 379, in file_match_to_msgs rslts, dur, nhash = self.match_file(analyzer, ht, qry, number) File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_match.py", line 355, in match_file q_hashes = analyzer.wavfile2hashes(filename) File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_analyze.py", line 407, in wavfile2hashes self.peaks2landmarks(peaklist))) File "/home/ben/audio_recognition-master/bin/audfprint/audfprint_analyze.py", line 89, in landmarks2hashes hashes[:, 0] = landmarks[:, 0] IndexError: too many indices for array Time is of the essence here unfortunately, and any help would be appreciated 😄 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#44>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAhs0ShoDW-NlyjG3h0kMFT99ELqLf-5ks5umW8zgaJpZM4XvvUh> .

[renbanford]

The file is only 0.395 of a second long, how would I get this sample to match to the database? (If it gives me multiple low confidence results I'd be happy to manually listen to them individually, but I didn't really want to go through 4,800 odd songs for 0.4 of a second of audio.

Thanks,

Ben

[dpwe]

0.4 s is going to be too short; a weakness of audfprint is that it takes something like ~0.5 s to warm up from the start of a file. Then the actual landmark pairs need to be spread over several 100 ms. So sounds with no structure on that kind of timescale (e.g., a single transient) can't be matched effectively. You could try looping the sound say 5 times, which will at least give the engine a chance to warm up and get landmarks on the event. However, if there's no substantial time structure for it to capture, it may still fail to find matches. Good luck, DAn.

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On Fri, Oct 19, 2018 at 8:25 AM Ben Ranford ***@***.***> wrote: The file is only 0.395 of a second long, how would I get this sample to match to the database? (If it gives me multiple low confidence results I'd be happy to manually listen to them individually, but I didn't really want to go through 4,800 odd songs for 0.4 of a second of audio. Thanks, Ben — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#44 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAhs0c7BEFRjvWv1G5fQHXO3-8Cn2maQks5umcSqgaJpZM4XvvUh> .

[renbanford]

I added 0.4s of white noise to the start and it worked! Thank you for your dedication to this code :)

[dpwe]

Oh! That’s great. Thanks for investigating and reporting back. DAn.

…

On Tue, Oct 23, 2018 at 17:11 Ben Ranford ***@***.***> wrote: I added 0.4s of white noise to the start and it worked! Thank you for your dedication to this code :) — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#44 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAhs0bn0FRUsrpBO48OrEpilx9Hrq8wsks5un4YEgaJpZM4XvvUh> .