* Fix inputs of duration discriminator

* Add LSTM

* Update models.py

* Update tensorboard scalar

* Noise injection for minimizing modality gap

* Update infer.py

* support bf16 run

* del unused_para flag

* support bf16 config

* add grad clip

* fix(logger and grad):add dur grad,fix grad clip

* Update webui_preprocess.py

* Fix English G2P

* fix(bert_gen):add pass

* Pass SDP to DD

* Update webui_preprocess.py

* Update config.json

* Update webui.py

* Update chinese_bert.py

* Upload webui for deploy

* Update webui.py

* torch.save as pt not npy

* Update config.json

* add freeze emo vq

* Update webui_preprocess.py

* Fix tone_sandhi.py

* Comment up grad clip

* Fix in-place addition

* Add SLM discriminator

* Add DDP for WD

* Feat: Style text: make emotions and style similar to the style text by mixing bert (#240) (#241)

* fix:(oldVersion210) Load on demand Emotion model

* feat: update fastapi.py. 添加更多错误日志信息

* Switch pyopenjtalk to pyopenjtalk-prebuilt

* fix: update fastapi.py. 2.2 reference适配

* Update resample.py

* 修复Onnx导出的BUG (#237)

* Add files via upload

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Add files via upload

* Add files via upload

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Delete attentions_onnx.py

* Delete models_onnx.py

* Add files via upload

* Add files via upload

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update __init__.py

* Update __init__.py

* Update __init__.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------



* Fix onnx

* Format export

* Feat: style-text and bert mixing (JA only)

* Ensure the same tensor shape

* Update

* update gradio version

* Fix

* Style text for chinese and english (ver 2.2)

* Style text for chinese and english (ver 2.1)

* Style text in FastAPI

* Translate style text desc in chinese

---------

Co-authored-by: litagin02 <139731664+litagin02@users.noreply.github.com>
Co-authored-by: Sora <654163754@qq.com>
Co-authored-by: Sihan Wang <wangsihan1995@gmail.com>
Co-authored-by: Ναρουσέ·μ·γιουμεμί·Χινακάννα <40709280+NaruseMioShirakana@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Remove CLAP

* Revert "Remove CLAP"

This reverts commit 62fd59bc837c580239840a2bc84b15e0663730fc.

Revert

* Remove CLAP

* bf16 audo grad cilp

* Update webui and infer utils

* Update webui.py

* Update webui.py

* Update webui-preprocess.py

* Update webui_preprocess.py

---------

Co-authored-by: Sihan Wang <wangsihan1995@gmail.com>
Co-authored-by: OedoSoldier <31711261+OedoSoldier@users.noreply.github.com>
Co-authored-by: litagin02 <139731664+litagin02@users.noreply.github.com>
Co-authored-by: Sora <654163754@qq.com>
Co-authored-by: Ναρουσέ·μ·γιουμεμί·Χινακάννα <40709280+NaruseMioShirakana@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Stardust·减
2023-12-19 19:12:26 +08:00
committed by GitHub
parent 5479e9039d
commit 76653b5b6d
34 changed files with 2978 additions and 1226 deletions

71
resample_legacy.py Normal file
View File

@@ -0,0 +1,71 @@
import os
import argparse
import librosa
from multiprocessing import Pool, cpu_count
import soundfile
from tqdm import tqdm
from config import config
def process(item):
wav_name, args = item
wav_path = os.path.join(args.in_dir, wav_name)
if os.path.exists(wav_path) and wav_path.lower().endswith(".wav"):
wav, sr = librosa.load(wav_path, sr=args.sr)
soundfile.write(os.path.join(args.out_dir, wav_name), wav, sr)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--sr",
type=int,
default=config.resample_config.sampling_rate,
help="sampling rate",
)
parser.add_argument(
"--in_dir",
type=str,
default=config.resample_config.in_dir,
help="path to source dir",
)
parser.add_argument(
"--out_dir",
type=str,
default=config.resample_config.out_dir,
help="path to target dir",
)
parser.add_argument(
"--processes",
type=int,
default=0,
help="cpu_processes",
)
args, _ = parser.parse_known_args()
# autodl 无卡模式会识别出46个cpu
if args.processes == 0:
processes = cpu_count() - 2 if cpu_count() > 4 else 1
else:
processes = args.processes
pool = Pool(processes=processes)
tasks = []
for dirpath, _, filenames in os.walk(args.in_dir):
if not os.path.isdir(args.out_dir):
os.makedirs(args.out_dir, exist_ok=True)
for filename in filenames:
if filename.lower().endswith(".wav"):
tasks.append((filename, args))
for _ in tqdm(
pool.imap_unordered(process, tasks),
):
pass
pool.close()
pool.join()
print("音频重采样完毕!")