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mirror of synced 2024-11-27 17:00:54 +01:00

add input wav and delay time monitor (#1295)

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yxlllc 2023-09-21 22:17:06 +08:00 committed by GitHub
parent a47aad5a3c
commit ac1397f3f9
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2 changed files with 63 additions and 29 deletions

View File

@ -14,7 +14,7 @@ sys.path.append(now_dir)
import multiprocessing
logger = logging.getLogger(__name__)
stream_latency = -1
class Harvest(multiprocessing.Process):
def __init__(self, inp_q, opt_q):
@ -100,7 +100,8 @@ if __name__ == "__main__":
def __init__(self) -> None:
self.config = GUIConfig()
self.flag_vc = False
self.function = 'vc'
self.delay_time = 0
self.launcher()
def load(self):
@ -112,6 +113,10 @@ if __name__ == "__main__":
data["harvest"] = data["f0method"] == "harvest"
data["crepe"] = data["f0method"] == "crepe"
data["rmvpe"] = data["f0method"] == "rmvpe"
if data["sg_input_device"] not in input_devices:
data["sg_input_device"] = input_devices[sd.default.device[0]]
if data["sg_output_device"] not in output_devices:
data["sg_output_device"] = output_devices[sd.default.device[1]]
except:
with open("configs/config.json", "w") as j:
data = {
@ -342,6 +347,22 @@ if __name__ == "__main__":
[
sg.Button(i18n("开始音频转换"), key="start_vc"),
sg.Button(i18n("停止音频转换"), key="stop_vc"),
sg.Radio(
i18n("输入监听"),
"function",
key="im",
default=False,
enable_events=True,
),
sg.Radio(
i18n("输出变声"),
"function",
key="vc",
default=True,
enable_events=True,
),
sg.Text(i18n("算法延迟(ms):")),
sg.Text("0", key="delay_time"),
sg.Text(i18n("推理时间(ms):")),
sg.Text("0", key="infer_time"),
],
@ -403,9 +424,16 @@ if __name__ == "__main__":
}
with open("configs/config.json", "w") as j:
json.dump(settings, j)
global stream_latency
while stream_latency < 0:
time.sleep(0.01)
self.delay_time = stream_latency + values["block_time"] + values["crossfade_length"] + 0.01
if values["I_noise_reduce"]:
self.delay_time += values["crossfade_length"]
self.window["delay_time"].update(int(self.delay_time * 1000))
if event == "stop_vc" and self.flag_vc == True:
self.flag_vc = False
stream_latency = -1
# Parameter hot update
if event == "threhold":
self.config.threhold = values["threhold"]
@ -423,11 +451,17 @@ if __name__ == "__main__":
self.config.f0method = event
elif event == "I_noise_reduce":
self.config.I_noise_reduce = values["I_noise_reduce"]
if stream_latency > 0:
self.delay_time += (1 if values["I_noise_reduce"] else -1) * values["crossfade_length"]
self.window["delay_time"].update(int(self.delay_time * 1000))
elif event == "O_noise_reduce":
self.config.O_noise_reduce = values["O_noise_reduce"]
elif event in ["vc", "im"]:
self.function = event
elif event != "start_vc" and self.flag_vc == True:
# Other parameters do not support hot update
self.flag_vc = False
stream_latency = -1
def set_values(self, values):
if len(values["pth_path"].strip()) == 0:
@ -565,7 +599,9 @@ if __name__ == "__main__":
blocksize=self.block_frame,
samplerate=self.config.samplerate,
dtype="float32",
):
) as stream:
global stream_latency
stream_latency = stream.latency[-1]
while self.flag_vc:
time.sleep(self.config.block_time)
logger.debug("Audio block passed.")
@ -597,7 +633,7 @@ if __name__ == "__main__":
self.block_frame_16k :
].clone()
# input noise reduction and resampling
if self.config.I_noise_reduce:
if self.config.I_noise_reduce and self.function == 'vc':
input_wav = self.input_wav[
-self.crossfade_frame - self.block_frame - 2 * self.zc :
]
@ -621,6 +657,7 @@ if __name__ == "__main__":
self.input_wav[-self.block_frame - 2 * self.zc :]
)[160:]
# infer
if self.function == 'vc':
f0_extractor_frame = self.block_frame_16k + 800
if self.config.f0method == "rmvpe":
f0_extractor_frame = 5120 * ((f0_extractor_frame - 1) // 5120 + 1) - 160
@ -636,8 +673,12 @@ if __name__ == "__main__":
infer_wav = infer_wav[
-self.crossfade_frame - self.sola_search_frame - self.block_frame :
]
else:
infer_wav = self.input_wav[
-self.crossfade_frame - self.sola_search_frame - self.block_frame :
].clone()
# output noise reduction
if self.config.O_noise_reduce:
if (self.config.O_noise_reduce and self.function == 'vc') or (self.config.I_noise_reduce and self.function == 'im'):
self.output_buffer[: -self.block_frame] = self.output_buffer[
self.block_frame :
].clone()
@ -646,7 +687,7 @@ if __name__ == "__main__":
infer_wav.unsqueeze(0), self.output_buffer.unsqueeze(0)
).squeeze(0)
# volume envelop mixing
if self.config.rms_mix_rate < 1:
if self.config.rms_mix_rate < 1 and self.function == 'vc':
rms1 = librosa.feature.rms(
y=self.input_wav_res[-160 * infer_wav.shape[0] // self.zc :]
.cpu()

View File

@ -211,13 +211,6 @@ class TorchGate(torch.nn.Module):
Returns:
torch.Tensor: The denoised audio signal, with the same shape as the input signal.
"""
assert x.ndim == 2
if x.shape[-1] < self.win_length * 2:
raise Exception(f"x must be bigger than {self.win_length * 2}")
assert xn is None or xn.ndim == 1 or xn.ndim == 2
if xn is not None and xn.shape[-1] < self.win_length * 2:
raise Exception(f"xn must be bigger than {self.win_length * 2}")
# Compute short-time Fourier transform (STFT)
X = torch.stft(