python - pydub找不到librosa编写的* .wav文件

[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 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

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)