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Fix weird noise introduced by scipy.io.wavfile #75

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Fix weird noise introduced by scipy.io.wavfile #75

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11 changes: 6 additions & 5 deletions preprocessor/aishell3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,15 +2,15 @@

import librosa
import numpy as np
from scipy.io import wavfile
import soundfile as sf
from tqdm import tqdm


def prepare_align(config):
in_dir = config["path"]["corpus_path"]
out_dir = config["path"]["raw_path"]
sampling_rate = config["preprocessing"]["audio"]["sampling_rate"]
max_wav_value = config["preprocessing"]["audio"]["max_wav_value"]
# max_wav_value = config["preprocessing"]["audio"]["max_wav_value"]
for dataset in ["train", "test"]:
print("Processing {}ing set...".format(dataset))
with open(os.path.join(in_dir, dataset, "content.txt"), encoding="utf-8") as f:
Expand All @@ -22,11 +22,12 @@ def prepare_align(config):
if os.path.exists(wav_path):
os.makedirs(os.path.join(out_dir, speaker), exist_ok=True)
wav, _ = librosa.load(wav_path, sampling_rate)
wav = wav / max(abs(wav)) * max_wav_value
wavfile.write(
wav = wav / max(abs(wav)) # * max_wav_value
sf.write(
os.path.join(out_dir, speaker, wav_name),
wav,
sampling_rate,
wav.astype(np.int16),
subtype='PCM_16'
)
with open(
os.path.join(out_dir, speaker, "{}.lab".format(wav_name[:11])),
Expand Down
11 changes: 6 additions & 5 deletions preprocessor/libritts.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

import librosa
import numpy as np
from scipy.io import wavfile
import soundfile as sf
from tqdm import tqdm

from text import _clean_text
Expand All @@ -12,7 +12,7 @@ def prepare_align(config):
in_dir = config["path"]["corpus_path"]
out_dir = config["path"]["raw_path"]
sampling_rate = config["preprocessing"]["audio"]["sampling_rate"]
max_wav_value = config["preprocessing"]["audio"]["max_wav_value"]
# max_wav_value = config["preprocessing"]["audio"]["max_wav_value"]
cleaners = config["preprocessing"]["text"]["text_cleaners"]
for speaker in tqdm(os.listdir(in_dir)):
for chapter in os.listdir(os.path.join(in_dir, speaker)):
Expand All @@ -32,11 +32,12 @@ def prepare_align(config):

os.makedirs(os.path.join(out_dir, speaker), exist_ok=True)
wav, _ = librosa.load(wav_path, sampling_rate)
wav = wav / max(abs(wav)) * max_wav_value
wavfile.write(
wav = wav / max(abs(wav)) # * max_wav_value
sf.write(
os.path.join(out_dir, speaker, "{}.wav".format(base_name)),
wav,
sampling_rate,
wav.astype(np.int16),
subtype='PCM_16'
)
with open(
os.path.join(out_dir, speaker, "{}.lab".format(base_name)),
Expand Down
11 changes: 6 additions & 5 deletions preprocessor/ljspeech.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

import librosa
import numpy as np
from scipy.io import wavfile
import soundfile as sf
from tqdm import tqdm

from text import _clean_text
Expand All @@ -12,7 +12,7 @@ def prepare_align(config):
in_dir = config["path"]["corpus_path"]
out_dir = config["path"]["raw_path"]
sampling_rate = config["preprocessing"]["audio"]["sampling_rate"]
max_wav_value = config["preprocessing"]["audio"]["max_wav_value"]
# max_wav_value = config["preprocessing"]["audio"]["max_wav_value"]
cleaners = config["preprocessing"]["text"]["text_cleaners"]
speaker = "LJSpeech"
with open(os.path.join(in_dir, "metadata.csv"), encoding="utf-8") as f:
Expand All @@ -26,11 +26,12 @@ def prepare_align(config):
if os.path.exists(wav_path):
os.makedirs(os.path.join(out_dir, speaker), exist_ok=True)
wav, _ = librosa.load(wav_path, sampling_rate)
wav = wav / max(abs(wav)) * max_wav_value
wavfile.write(
wav = wav / max(abs(wav)) # * max_wav_value
sf.write(
os.path.join(out_dir, speaker, "{}.wav".format(base_name)),
wav,
sampling_rate,
wav.astype(np.int16),
subtype='PCM_16'
)
with open(
os.path.join(out_dir, speaker, "{}.lab".format(base_name)),
Expand Down