OPENGIT/Retrieval-based-Voice-Conversion-WebUI
1
0
Fork 0
mirror of https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git synced 2025-05-06 20:01:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

some change precision audio processing

Browse Source
This commit is contained in:
autumnmotor 2023-04-18 18:17:29 +09:00
parent a4c64b0253
commit 30d5f02a3d
3 changed files with 15 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
extract_f0_print.py
View File

@ -33,7 +33,9 @@ class FeatureInput(object):
self.f0_mel_max = 1127 * np.log(1 + self.f0_max / 700)
def compute_f0(self, path, f0_method):
x, sr = librosa.load(path, self.fs)
# default resample type of librosa.resample is "soxr_hq".
# Quality: soxr_vhq > soxr_hq
x, sr = librosa.load(path, self.fs, res_type='soxr_vhq')
p_len = x.shape[0] // self.hop
assert sr == self.fs
if f0_method == "pm":

4
my_utils.py
View File

@ -12,10 +12,10 @@ def load_audio(file, sr):
) # 防止小白拷路径头尾带了空格和"和回车
out, _ = (
ffmpeg.input(file, threads=0)
.output("-", format="s16le", acodec="pcm_s16le", ac=1, ar=sr)
.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
)
except Exception as e:
raise RuntimeError(f"Failed to load audio: {e}")
return np.frombuffer(out, np.int16).flatten().astype(np.float32) / 32768.0
return np.frombuffer(out, np.float32).flatten()

14
trainset_preprocess_pipeline_print.py
View File

@ -59,19 +59,25 @@ class PreProcess:
wavfile.write(
"%s/%s_%s.wav" % (self.gt_wavs_dir, idx0, idx1),
self.sr,
(tmp_audio * 32768).astype(np.int16),
(tmp_audio * 1).astype(np.float32),
)
tmp_audio = librosa.resample(tmp_audio, orig_sr=self.sr, target_sr=16000)
# default resample type of librosa.resample is "soxr_hq".
# Quality: soxr_vhq > soxr_hq
tmp_audio = librosa.resample(tmp_audio, orig_sr=self.sr, target_sr=16000, res_type="soxr_vhq")
wavfile.write(
"%s/%s_%s.wav" % (self.wavs16k_dir, idx0, idx1),
16000,
(tmp_audio * 32768).astype(np.int16),
(tmp_audio * 1).astype(np.float32),
)
def pipeline(self, path, idx0):
try:
audio = load_audio(path, self.sr)
audio = signal.filtfilt(self.bh, self.ah, audio)
# zero phased digital filter cause pre-ringing noise...
# audio = signal.filtfilt(self.bh, self.ah, audio)
audio = signal.lfilter(self.bh, self.ah, audio)
idx1 = 0
for audio in self.slicer.slice(audio):
i = 0