Spaces:
Sleeping
Sleeping
王帅
commited on
Commit
•
dc83cb6
1
Parent(s):
f9d0d8b
init the repo
Browse files- .gitattributes +1 -0
- app.py +113 -0
- examples/enroll1_zh.wav +0 -0
- examples/enroll2_zh.wav +0 -0
- examples/enroll_1.wav +0 -0
- examples/enroll_2.wav +0 -0
- examples/mixture.wav +0 -0
- examples/mixture_zh.wav +3 -0
- requirements.txt +160 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*/mixture_zh.wav filter=lfs diff=lfs merge=lfs -text
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app.py
ADDED
@@ -0,0 +1,113 @@
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# Copyright (c) Microsoft
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# 2022 Chengdong Liang ([email protected])
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import gradio as gr
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import wesep
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import soundfile
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import torchaudio
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import os
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from scipy.signal import resample
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input_path = "./audios"
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output_path = "./extracted"
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if not os.path.exists(input_path):
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os.mkdir(input_path)
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if not os.path.exists(output_path):
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os.mkdir(output_path)
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en_model = wesep.load_model("english")
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def save_to_file(audio,filename,target_sr=16000):
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audio_path = os.path.join(input_path,filename)
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soundfile.write(audio_path,audio[1],audio[0])
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pcm, sample_rate = torchaudio.load(audio_path)
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transform = torchaudio.transforms.Resample(
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orig_freq=audio[0],
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new_freq=target_sr)
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pcm = transform(pcm)
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torchaudio.save(audio_path, pcm, target_sr)
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return audio_path
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def speaker_extraction(audio1, audio2, mixture, select_speaker='#1'):
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if audio1 == None or audio2 == None or mixture == None:
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print("??")
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return gr.Warning("The audio file cannot be empty, please upload a valid audio file. 音频文件不能为空,请上传有效的音频文件。")
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audio_path1 = save_to_file(audio1,"enroll_1.wav",16000)
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audio_path2 = save_to_file(audio2,"enroll_2.wav",16000)
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audio_mixture = save_to_file(mixture,"mixture.wav",16000)
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model = en_model
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if select_speaker == '#1':
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select_speaker = audio_path1
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elif select_speaker == '#2':
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select_speaker = audio_path2
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speech = model.extract_speech(audio_mixture,select_speaker)
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audio_speech = output_path + "/speech.wav"
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soundfile.write(audio_speech,speech[0],16000)
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return audio_speech
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inputs = [
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gr.Audio(
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show_download_button = True,
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label='Enroll Speaker#1',
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),
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gr.Audio(
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show_download_button = True,
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label='Enroll Speaker#2'),
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gr.Audio(
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show_download_button = True,
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label='Mixture'),
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gr.Radio(['#1', '#2'], label='Extract Speaker #'),
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]
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output = gr.Audio(type="filepath",label="Extract Speaker")
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# description
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description = ("<p>WeSep Demo ! Try it with your own voice ! Note: We recommend that the audio length be greater than 5s !</p>")
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article = (
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"<p style='text-align: center'>"
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"<a href='https://github.com/wenet-e2e/wesep' target='_blank'>Github: Learn more about WeSep</a>"
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"</p>")
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examples = [
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['examples/enroll_1.wav', 'examples/enroll_2.wav', 'examples/mixture.wav','#1'],
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['examples/enroll1_zh.wav', 'examples/enroll2_zh.wav', 'examples/mixture_zh.wav','#2'],
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]
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interface = gr.Interface(
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fn=speaker_extraction,
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inputs=inputs,
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outputs=output,
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title="Speaker Extraction in WeSep : 基于 WeSep 的说话人提取",
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description=description,
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article=article,
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examples=examples
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)
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interface.launch()
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examples/enroll1_zh.wav
ADDED
Binary file (204 kB). View file
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examples/enroll2_zh.wav
ADDED
Binary file (502 kB). View file
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examples/enroll_1.wav
ADDED
Binary file (169 kB). View file
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examples/enroll_2.wav
ADDED
Binary file (112 kB). View file
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examples/mixture.wav
ADDED
Binary file (128 kB). View file
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examples/mixture_zh.wav
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:545f95dc05f4627d2e8384a5539d9b4a5a0f174fb753f6687caa3a2dc403e2cf
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size 1169576
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requirements.txt
ADDED
@@ -0,0 +1,160 @@
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1 |
+
aiofiles==23.2.1
|
2 |
+
aiohappyeyeballs==2.4.3
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3 |
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aiohttp==3.10.10
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4 |
+
aiosignal==1.3.1
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5 |
+
altair==5.4.1
|
6 |
+
annotated-types==0.7.0
|
7 |
+
anyio==4.6.2.post1
|
8 |
+
async-timeout==4.0.3
|
9 |
+
attrs==24.2.0
|
10 |
+
audioread==3.0.1
|
11 |
+
auraloss==0.4.0
|
12 |
+
certifi==2024.8.30
|
13 |
+
cffi==1.17.1
|
14 |
+
cfgv==3.4.0
|
15 |
+
charset-normalizer==3.4.0
|
16 |
+
click==8.1.7
|
17 |
+
coloredlogs==15.0.1
|
18 |
+
cycler==0.12.1
|
19 |
+
Cython==0.29.37
|
20 |
+
decorator==5.1.1
|
21 |
+
distlib==0.3.9
|
22 |
+
exceptiongroup==1.2.2
|
23 |
+
fast_bss_eval==0.1.4
|
24 |
+
fastapi==0.115.4
|
25 |
+
ffmpy==0.4.0
|
26 |
+
filelock==3.16.1
|
27 |
+
fire==0.4.0
|
28 |
+
flake8==3.8.2
|
29 |
+
flake8-bugbear==23.3.12
|
30 |
+
flake8-comprehensions==3.16.0
|
31 |
+
flake8-executable==2.1.3
|
32 |
+
flake8-pyi==20.5.0
|
33 |
+
flatbuffers==24.3.25
|
34 |
+
fonttools==4.54.1
|
35 |
+
frozenlist==1.5.0
|
36 |
+
fsspec==2024.10.0
|
37 |
+
future==1.0.0
|
38 |
+
gradio==4.44.1
|
39 |
+
gradio_client==1.3.0
|
40 |
+
h11==0.14.0
|
41 |
+
h5py==3.12.1
|
42 |
+
hdbscan==0.8.37
|
43 |
+
httpcore==1.0.6
|
44 |
+
httpx==0.27.2
|
45 |
+
huggingface-hub==0.26.2
|
46 |
+
humanfriendly==10.0
|
47 |
+
identify==2.6.1
|
48 |
+
idna==3.10
|
49 |
+
importlib_resources==6.4.5
|
50 |
+
Jinja2==3.1.4
|
51 |
+
joblib==1.1.0
|
52 |
+
jsonpatch==1.33
|
53 |
+
jsonpointer==3.0.0
|
54 |
+
jsonschema==4.23.0
|
55 |
+
jsonschema-specifications==2024.10.1
|
56 |
+
kaldiio==2.18.0
|
57 |
+
kiwisolver==1.4.7
|
58 |
+
lazy_loader==0.4
|
59 |
+
librosa==0.10.1
|
60 |
+
lightning-utilities==0.11.8
|
61 |
+
linkify-it-py==2.0.3
|
62 |
+
llvmlite==0.41.1
|
63 |
+
lmdb==1.3.0
|
64 |
+
markdown-it-py==3.0.0
|
65 |
+
MarkupSafe==2.1.5
|
66 |
+
matplotlib==3.5.1
|
67 |
+
mccabe==0.6.1
|
68 |
+
mdit-py-plugins==0.4.2
|
69 |
+
mdurl==0.1.2
|
70 |
+
mir_eval==0.7
|
71 |
+
mpmath==1.3.0
|
72 |
+
msgpack==1.1.0
|
73 |
+
multidict==6.1.0
|
74 |
+
narwhals==1.13.1
|
75 |
+
networkx==3.2.1
|
76 |
+
nodeenv==1.9.1
|
77 |
+
numba==0.58.0
|
78 |
+
numpy==1.22.4
|
79 |
+
nvidia-cublas-cu12==12.4.5.8
|
80 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
81 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
82 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
83 |
+
nvidia-cudnn-cu12==9.1.0.70
|
84 |
+
nvidia-cufft-cu12==11.2.1.3
|
85 |
+
nvidia-curand-cu12==10.3.5.147
|
86 |
+
nvidia-cusolver-cu12==11.6.1.9
|
87 |
+
nvidia-cusparse-cu12==12.3.1.170
|
88 |
+
nvidia-nccl-cu12==2.21.5
|
89 |
+
nvidia-nvjitlink-cu12==12.4.127
|
90 |
+
nvidia-nvtx-cu12==12.4.127
|
91 |
+
onnxruntime==1.19.2
|
92 |
+
orjson==3.10.11
|
93 |
+
packaging==24.1
|
94 |
+
pandas==2.2.3
|
95 |
+
pesq==0.0.4
|
96 |
+
pillow==10.4.0
|
97 |
+
platformdirs==4.3.6
|
98 |
+
pooch==1.8.2
|
99 |
+
pre-commit==3.5.0
|
100 |
+
propcache==0.2.0
|
101 |
+
protobuf==5.28.3
|
102 |
+
pycodestyle==2.6.0
|
103 |
+
pycparser==2.22
|
104 |
+
pycryptodome==3.21.0
|
105 |
+
pydantic==2.9.2
|
106 |
+
pydantic_core==2.23.4
|
107 |
+
pydub==0.25.1
|
108 |
+
pyflakes==2.2.0
|
109 |
+
Pygments==2.18.0
|
110 |
+
pynndescent==0.5.13
|
111 |
+
pyparsing==3.2.0
|
112 |
+
pystoi==0.3.3
|
113 |
+
python-dateutil==2.9.0.post0
|
114 |
+
python-multipart==0.0.17
|
115 |
+
pytz==2024.2
|
116 |
+
PyYAML==6.0
|
117 |
+
referencing==0.35.1
|
118 |
+
requests==2.31.0
|
119 |
+
rich==13.9.4
|
120 |
+
rpds-py==0.20.1
|
121 |
+
ruff==0.7.2
|
122 |
+
scikit-learn==1.1.3
|
123 |
+
scipy==1.7.3
|
124 |
+
semantic-version==2.10.0
|
125 |
+
shellingham==1.5.4
|
126 |
+
silero-vad==5.1.2
|
127 |
+
six==1.16.0
|
128 |
+
sniffio==1.3.1
|
129 |
+
soundfile==0.12.1
|
130 |
+
soxr==0.5.0.post1
|
131 |
+
starlette==0.41.2
|
132 |
+
sympy==1.13.1
|
133 |
+
tableprint==0.9.1
|
134 |
+
termcolor==2.5.0
|
135 |
+
thop==0.1.1.post2209072238
|
136 |
+
threadpoolctl==3.5.0
|
137 |
+
tomlkit==0.12.0
|
138 |
+
torch==2.5.1
|
139 |
+
torchaudio==2.5.1
|
140 |
+
torchmetrics==1.2.0
|
141 |
+
torchnet==0.0.4
|
142 |
+
tornado==6.4.1
|
143 |
+
tqdm==4.64.0
|
144 |
+
triton==3.1.0
|
145 |
+
typer==0.12.5
|
146 |
+
typing_extensions==4.12.2
|
147 |
+
tzdata==2024.2
|
148 |
+
uc-micro-py==1.0.3
|
149 |
+
umap-learn==0.5.6
|
150 |
+
urllib3==2.2.3
|
151 |
+
uvicorn==0.32.0
|
152 |
+
virtualenv==20.27.1
|
153 |
+
visdom==0.2.4
|
154 |
+
wcwidth==0.2.13
|
155 |
+
websocket-client==1.8.0
|
156 |
+
websockets==12.0
|
157 |
+
-e git+https://github.com/wenet-e2e/wesep.git@f0e479e998206a5404feb4f735113ff9bf6c4d55#egg=wesep
|
158 |
+
wespeaker @ git+https://github.com/wenet-e2e/wespeaker.git@e9bbf73d0fd13db6cf42a6cb2eafb0d7dd0f8e0e
|
159 |
+
yarl==1.17.1
|
160 |
+
zipp==3.20.2
|