95 lines
3.0 KiB
Python
95 lines
3.0 KiB
Python
import glob
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import os
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from re import S
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import numpy as np
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from scipy.io import wavfile
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class ProcessorFunctions:
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@staticmethod
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def match_vtck(clean_path,noisy_path):
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matching_wavfiles = list()
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clean_filenames = [file.split('/')[-1] for file in glob.glob(os.path.join(clean_path,"*.wav"))]
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noisy_filenames = [file.split('/')[-1] for file in glob.glob(os.path.join(noisy_path,"*.wav"))]
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common_filenames = np.intersect1d(noisy_filenames,clean_filenames)
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for file_name in common_filenames:
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sr_clean, clean_file = wavfile.read(os.path.join(clean_path,file_name))
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sr_noisy, noisy_file = wavfile.read(os.path.join(noisy_path,file_name))
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if ((clean_file.shape[-1]==noisy_file.shape[-1]) and
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(sr_clean==sr_noisy)):
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matching_wavfiles.append(
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{"clean":os.path.join(clean_path,file_name),"noisy":os.path.join(noisy_path,file_name),
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"duration":clean_file.shape[-1]/sr_clean}
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)
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return matching_wavfiles
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@staticmethod
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def match_dns2020(clean_path,noisy_path):
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matching_wavfiles = dict()
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clean_filenames = [file.split('/')[-1] for file in glob.glob(os.path.join(clean_path,"*.wav"))]
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for clean_file in clean_filenames:
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noisy_filenames = glob.glob(os.path.join(noisy_path,f"*_{clean_file}.wav"))
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for noisy_file in noisy_filenames:
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sr_clean, clean_file = wavfile.read(os.path.join(clean_path,clean_file))
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sr_noisy, noisy_file = wavfile.read(noisy_file)
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if ((clean_file.shape[-1]==noisy_file.shape[-1]) and
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(sr_clean==sr_noisy)):
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matching_wavfiles.update(
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{"clean":os.path.join(clean_path,clean_file),"noisy":noisy_file,
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"duration":clean_file.shape[-1]/sr_clean}
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)
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return matching_wavfiles
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class Fileprocessor:
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def __init__(
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self,
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clean_dir,
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noisy_dir,
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matching_function = None
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):
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self.clean_dir = clean_dir
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self.noisy_dir = noisy_dir
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self.matching_function = matching_function
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@classmethod
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def from_name(cls,
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name:str,
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clean_dir,
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noisy_dir,
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matching_function=None
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):
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if name.lower() == "vctk":
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return cls(clean_dir,noisy_dir, ProcessorFunctions.match_vtck)
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elif name.lower() == "dns-2020":
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return cls(clean_dir,noisy_dir, ProcessorFunctions.match_dns2020)
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else:
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return cls(clean_dir,noisy_dir, matching_function)
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def prepare_matching_dict(self):
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if self.matching_function is None:
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raise ValueError("Not a valid matching function")
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return self.matching_function(self.clean_dir,self.noisy_dir)
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