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rmv fileprocessor

This commit is contained in:
shahules786 2022-09-25 11:51:54 +05:30
parent f65e13f9c2
commit 4cc96c7b09
1 changed files with 0 additions and 94 deletions
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94
enhancer/utils/fileprocessor.py
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@ -1,94 +0,0 @@
import glob
import os
import numpy as np
from scipy.io import wavfile
class Fileprocessor:
def __init__(
self,
clean_dir,
noisy_dir,
sr = 16000,
matching_function = None
):
self.clean_dir = clean_dir
self.noisy_dir = noisy_dir
self.sr = sr
self.matching_function = matching_function
@classmethod
def from_name(cls,
name:str,
clean_dir,
noisy_dir,
sr,
matching_function=None
):
if name.lower() == "vctk":
return cls(clean_dir,noisy_dir,sr, Fileprocessor.match_vtck)
elif name.lower() == "dns-2020":
return cls(clean_dir,noisy_dir,sr, Fileprocessor.match_dns2020)
else:
return cls(clean_dir,noisy_dir,sr, matching_function)
def prepare_matching_dict(self):
if self.matching_function is None:
raise ValueError("Not a valid matching function")
return self.matching_function(self.clean_dir,self.noisy_dir,self.sr)
@staticmethod
def match_vtck(clean_path,noisy_path,sr):
matching_wavfiles = list()
clean_filenames = [file.split('/')[-1] for file in glob.glob(os.path.join(clean_path,"*.wav"))]
noisy_filenames = [file.split('/')[-1] for file in glob.glob(os.path.join(noisy_path,"*.wav"))]
common_filenames = np.intersect1d(noisy_filenames,clean_filenames)
for file_name in common_filenames:
sr_clean, clean_file = wavfile.read(os.path.join(clean_path,file_name))
sr_noisy, noisy_file = wavfile.read(os.path.join(noisy_path,file_name))
if ((clean_file.shape[-1]==noisy_file.shape[-1]) and
(sr_clean==sr) and
(sr_noisy==sr)):
matching_wavfiles.append(
{"clean":os.path.join(clean_path,file_name),"noisy":os.path.join(noisy_path,file_name),
"duration":clean_file.shape[-1]/sr}
)
return matching_wavfiles
@staticmethod
def match_dns2020(clean_path,noisy_path,sr):
matching_wavfiles = dict()
clean_filenames = [file.split('/')[-1] for file in glob.glob(os.path.join(clean_path,"*.wav"))]
for clean_file in clean_filenames:
noisy_filenames = glob.glob(os.path.join(noisy_path,f"*_{clean_file}.wav"))
for noisy_file in noisy_filenames:
sr_clean, clean_file = wavfile.read(os.path.join(clean_path,clean_file))
sr_noisy, noisy_file = wavfile.read(noisy_file)
if ((clean_file.shape[-1]==noisy_file.shape[-1]) and
(sr_clean==sr) and
(sr_noisy==sr)):
matching_wavfiles.update(
{"clean":os.path.join(clean_path,clean_file),"noisy":noisy_file,
"duration":clean_file.shape[-1]/sr}
)
return matching_wavfiles