inaSpeechSegmenter:基于CNN的音频分段工具包。 允许检测语音,音乐和说话者性别。 专为基于性别的演讲时间而进行的大规模性别平等研究而设计

上传者: 42142062 | 上传时间: 2022-05-07 15:36:40 | 文件大小: 13.44MB | 文件类型: ZIP
inaSpeechSegmenter inaSpeechSegmenter是一个基于CNN的音频分段工具包。 它将音频信号分成语音,音乐和噪音的均匀区域。 语音区域分为使用说话者性别(男性或女性)标记的片段。 男性和女性分类模型针对法语进行了优化,因为他们是使用法语说者进行培训的(说话者性别的声学相关性取决于语言)。 对应于音乐之上的语音或噪声之上的语音的区域被标记为语音。 设计inaSpeechSegmenter的目的是基于男女语音时间百分比估计来执行。 安装 inaSpeechSegmenter是python 3中的框架。仅支持大于或等于3.6的python版本。 可以使用以下过程进行安装: 先决条件 inaSpeechSegmenter需要ffmpeg才能解码任何类型的格式。 可以使用以下命令行完成ffmpeg for ubuntu的安装: $ sudo apt-get in

文件下载

资源详情

[{"title":"( 34 个子文件 13.44MB ) inaSpeechSegmenter:基于CNN的音频分段工具包。 允许检测语音,音乐和说话者性别。 专为基于性别的演讲时间而进行的大规模性别平等研究而设计","children":[{"title":"inaSpeechSegmenter-master","children":[{"title":"setup.py <span style='color:#111;'> 4.50KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'> 815B </span>","children":null,"spread":false},{"title":"media","children":[{"title":"silence2sec.wav <span style='color:#111;'> 62.58KB </span>","children":null,"spread":false},{"title":"silence2sec-smn-gender.csv <span style='color:#111;'> 36B </span>","children":null,"spread":false},{"title":"0021.mp3 <span style='color:#111;'> 11.27KB </span>","children":null,"spread":false},{"title":"musanmix.mp3 <span style='color:#111;'> 218.75KB </span>","children":null,"spread":false},{"title":"pyroserver_test.csv <span style='color:#111;'> 241B </span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 391B </span>","children":null,"spread":false},{"title":"musanmix-smn-gender.TextGrid <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"0021-smn-gender.csv <span style='color:#111;'> 32B </span>","children":null,"spread":false},{"title":"musanmix-smn-gender.csv <span style='color:#111;'> 344B </span>","children":null,"spread":false},{"title":"musanmix-sm-gender.csv <span style='color:#111;'> 387B </span>","children":null,"spread":false}],"spread":true},{"title":"MANIFEST.in <span style='color:#111;'> 127B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"setup.cfg <span style='color:#111;'> 34B </span>","children":null,"spread":false},{"title":".github","children":[{"title":"ISSUE_TEMPLATE.md <span style='color:#111;'> 920B </span>","children":null,"spread":false}],"spread":true},{"title":"scripts","children":[{"title":"ina_speech_segmenter_pyro_server.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"ina_speech_segmenter_pyro_client_setjobs.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"ina_speech_segmenter.py <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false},{"title":"ina_speech_segmenter_pyro_client.py <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 7.90KB </span>","children":null,"spread":false},{"title":"inaSpeechSegmenter","children":[{"title":"features.py <span style='color:#111;'> 3.59KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"thread_returning.py <span style='color:#111;'> 553B </span>","children":null,"spread":false},{"title":"keras_speech_music_cnn.hdf5 <span style='color:#111;'> 5.61MB </span>","children":null,"spread":false},{"title":"segmenter.py <span style='color:#111;'> 12.65KB </span>","children":null,"spread":false},{"title":"keras_speech_music_noise_cnn.hdf5 <span style='color:#111;'> 3.09MB </span>","children":null,"spread":false},{"title":"sidekit_mfcc.py <span style='color:#111;'> 13.46KB </span>","children":null,"spread":false},{"title":"viterbi_utils.py <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"export_funcs.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"keras_male_female_cnn.hdf5 <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false}],"spread":true},{"title":"API_Tutorial.ipynb <span style='color:#111;'> 7.03KB </span>","children":null,"spread":false},{"title":"run_tests.py <span style='color:#111;'> 6.59KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明