标签:
- pyannote
- pyannote音频
- pyannote音频模型
- 音频
- 语音
- 说话人
- 说话人分割
- 语音活动检测
- 重叠语音检测
- 重分割
数据集:
- ami
- dihard
- voxconverse
许可证: mit
推理: false
🎹 说话人分割

该模型来自论文《端到端说话人分割用于重叠感知的重分割》,
作者为Hervé Bredin和Antoine Laurent。
在线演示可在Hugging Face Space上体验。
支持
商业咨询和科研合作,请联系我。
技术问题和错误报告,请查看pyannote.audio的GitHub仓库。
使用说明
需依赖正在开发中的pyannote.audio 2.0版本:参见安装指南。
语音活动检测
from pyannote.audio.pipelines import VoiceActivityDetection
pipeline = VoiceActivityDetection(segmentation="pyannote/segmentation")
HYPER_PARAMETERS = {
"onset": 0.5, "offset": 0.5,
"min_duration_on": 0.0,
"min_duration_off": 0.0
}
pipeline.instantiate(HYPER_PARAMETERS)
vad = pipeline("audio.wav")
重叠语音检测
from pyannote.audio.pipelines import OverlappedSpeechDetection
pipeline = OverlappedSpeechDetection(segmentation="pyannote/segmentation")
pipeline.instantiate(HYPER_PARAMETERS)
osd = pipeline("audio.wav")
重分割
from pyannote.audio.pipelines import Resegmentation
pipeline = Resegmentation(segmentation="pyannote/segmentation",
diarization="baseline")
pipeline.instantiate(HYPER_PARAMETERS)
resegmented_baseline = pipeline({"audio": "audio.wav", "baseline": baseline})
原始分数
from pyannote.audio import Inference
inference = Inference("pyannote/segmentation")
segmentation = inference("audio.wav")
可重复研究
为复现论文《端到端说话人分割用于重叠感知的重分割》的结果,请使用pyannote/segmentation@Interspeech2021
及以下超参数:
语音活动检测 |
onset |
offset |
min_duration_on |
min_duration_off |
AMI Mix-Headset |
0.684 |
0.577 |
0.181 |
0.037 |
DIHARD3 |
0.767 |
0.377 |
0.136 |
0.067 |
VoxConverse |
0.767 |
0.713 |
0.182 |
0.501 |
重叠语音检测 |
onset |
offset |
min_duration_on |
min_duration_off |
AMI Mix-Headset |
0.448 |
0.362 |
0.116 |
0.187 |
DIHARD3 |
0.430 |
0.320 |
0.091 |
0.144 |
VoxConverse |
0.587 |
0.426 |
0.337 |
0.112 |
VBx重分割 |
onset |
offset |
min_duration_on |
min_duration_off |
AMI Mix-Headset |
0.542 |
0.527 |
0.044 |
0.705 |
DIHARD3 |
0.592 |
0.489 |
0.163 |
0.182 |
VoxConverse |
0.537 |
0.724 |
0.410 |
0.563 |
预期输出(及VBx基线)也提供在/reproducible_research
子目录中。
引用
@inproceedings{Bredin2021,
Title = {{End-to-end speaker segmentation for overlap-aware resegmentation}},
Author = {{Bredin}, Herv{\'e} and {Laurent}, Antoine},
Booktitle = {Proc. Interspeech 2021},
Address = {Brno, Czech Republic},
Month = {August},
Year = {2021},
@inproceedings{Bredin2020,
Title = {{pyannote.audio: neural building blocks for speaker diarization}},
Author = {{Bredin}, Herv{\'e} and {Yin}, Ruiqing and {Coria}, Juan Manuel and {Gelly}, Gregory and {Korshunov}, Pavel and {Lavechin}, Marvin and {Fustes}, Diego and {Titeux}, Hadrien and {Bouaziz}, Wassim and {Gill}, Marie-Philippe},
Booktitle = {ICASSP 2020, IEEE International Conference on Acoustics, Speech, and Signal Processing},
Address = {Barcelona, Spain},
Month = {May},
Year = {2020},
}