I'm using the Librosa function librosa.output.write_wav to output a time series as a .wav file and then trying to open it in pydub, but pydub is throwing a FileNotFoundError message (see below). The *.wav files are definitely in the same directory as my Jupyter notebook (convert_spect_to_wav.ipynb). The weird thing is my code works perfectly fine if I feed in *.wav files that were not generated by Librosa. I'm able to listen to the Librosa *.wav files, so I don't know what weird thing Librosa is doing that is making pydub not find the Librosa *.wav files.
Directory
[lashen.lashen-MOBL] ➤ ls -l
total 442
-rwx------ 1 lashen UsersGrp 103566 Feb 17 14:47 bdl_arctic_a0001.wav
-rwx------ 1 lashen UsersGrp 12973 Mar 17 12:56 convert_spect_to_wav.ipynb
drwx------ 1 lashen UsersGrp 0 Mar 17 12:38 generated
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:55 generated_0.wav
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:55 generated_1.wav
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:55 generated_2.wav
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:55 generated_3.wav
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:55 generated_4.wav
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:55 generated_5.wav
-rwx------ 1 lashen UsersGrp 43066 Mar 17 12:48 hello.wav
-rwx------ 1 lashen UsersGrp 103566 Feb 17 14:58 ksp_arctic_a0001.wav
-rwx------ 1 lashen UsersGrp 44530 Mar 17 12:40 ksp_arctic_a0001_0.wav
-rwx------ 1 lashen UsersGrp 1408 Mar 6 20:21 parameters.mat
-rwx------ 1 lashen UsersGrp 25971 Mar 6 19:54 style_transfer.ipynb
-rwx------ 1 lashen UsersGrp 96044 Mar 17 12:40 whole_clip.wav
FileNotFoundError message
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-67-6381f1840332> in <module>()
----> 1 convert_spect_to_wav('../dataset_processed/bdl_spectrogram_array.npy')
<ipython-input-66-a201b054f438> in convert_spect_to_wav(file_name)
19
20 # Piece together the wav files
---> 21 stitch_wavs_together(file_names)
<ipython-input-65-63d881a5987a> in stitch_wavs_together(file_names)
7 for file in clip_file_list:
8 print (file)
----> 9 clip = AudioSegment.from_wav(file)
10 wav_clips.append(clip)
11
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pydub\audio_segment.py in from_wav(cls, file, parameters)
542 @classmethod
543 def from_wav(cls, file, parameters=None):
--> 544 return cls.from_file(file, 'wav', parameters)
545
546 @classmethod
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pydub\audio_segment.py in from_file(cls, file, format, codec, parameters, **kwargs)
510
511 with open(os.devnull, 'rb') as devnull:
--> 512 p = subprocess.Popen(conversion_command, stdin=devnull, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
513 p_out, p_err = p.communicate()
514
~\AppData\Local\Continuum\anaconda3\lib\subprocess.py in __init__(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, encoding, errors)
707 c2pread, c2pwrite,
708 errread, errwrite,
--> 709 restore_signals, start_new_session)
710 except:
711 # Cleanup if the child failed starting.
~\AppData\Local\Continuum\anaconda3\lib\subprocess.py in _execute_child(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_start_new_session)
995 env,
996 os.fspath(cwd) if cwd is not None else None,
--> 997 startupinfo)
998 finally:
999 # Child is launched. Close the parent's copy of those pipe
FileNotFoundError: [WinError 2] The system cannot find the file specified
I don't know why pydub cannot find the *.wav files outputted by Librosa. The issue is only with the Librosa *.wav files since other *.wav files work without error. Has anyone else encountered this before??
Here some relevant code: write_time_series_to_wav creates the Librosa *.wav file, stitch_wavs_together is where I'm trying to read the Librosa *.wav files using pydub, and convert_spect_to_wav calls these two functions.
def write_time_series_to_wav(time_series, sampling_rate):
file_prefix = 'generated_'
file_names_list = []
i = 0
for series in time_series:
file_name = file_prefix + str(i) + '.wav'
librosa.output.write_wav(file_name, series, sampling_rate)
file_names_list.append(file_name)
i = i + 1
return file_names_list
def stitch_wavs_together(file_names):
wav_clips = []
clip_file_list = glob.glob('generated_*.wav')
print (clip_file_list)
for file in clip_file_list:
print (file)
clip = AudioSegment.from_wav(file)
wav_clips.append(clip)
whole_clip = wav_clips[0]
for i in range(1, len(wav_clips)):
whole_clip = whole_clip + wav_clips[i]
whole_clip.export('whole_clip.wav', format='wav')
def convert_spect_to_wav(file_name):
spectrogram_array = np.load(file_name)
print (spectrogram_array.shape)
spectrogram_list = []
for spectrogram in spectrogram_array:
#print (spectrogram.shape)
spectrogram_list.append(spectrogram)
#spectrogram_list = spectrogram_array.tolist()
#print (spectrogram_list)
# Convert spectrogram to time series
time_series = convert_spect_to_time_series(spectrogram_list)
# Write time series out to wav files
file_names = write_time_series_to_wav(time_series, 22050)
print (file_names)
# Piece together the wav files
stitch_wavs_together(file_names)
Any help or input is appreciated!!
