{"id":24183,"date":"2019-11-13T15:57:43","date_gmt":"2019-11-13T14:57:43","guid":{"rendered":"https:\/\/lium.univ-lemans.fr\/?p=24183"},"modified":"2019-11-14T11:11:47","modified_gmt":"2019-11-14T10:11:47","slug":"speechbrain","status":"publish","type":"post","link":"https:\/\/lium.univ-lemans.fr\/en\/speechbrain\/","title":{"rendered":"SpeechBrain"},"content":{"rendered":"

SpeechBrain (SpeechBrain)<\/h2>

Date: <\/b> 09\/2019 - 12\/2021Funding: <\/b> AutresCall: <\/b> Partners: <\/b> Mila<\/a> (Canada), LIA<\/a> (France), PyTorch<\/a>, IBM Research AI<\/a>, fluent.ai<\/a> (Canada)<\/br>URL: <\/b>https:\/\/speechbrain.github.io<\/a>

LIUM Participant(s): <\/b><\/td>
\"User<\/a>Anthony Larcher<\/span><\/b><\/a><\/center><\/td>
\"User<\/a>Sylvain Meignier<\/span><\/b><\/a><\/center><\/td><\/tr><\/table><\/div><\/div><\/p><\/div>

SpeechBrain is an open-source and all-in-one speech toolkit relying on PyTorch.<\/p>\n

The goal is to create a single, flexible, and user-friendly toolkit that can be used to easily develop state-of-the-art speech technologies, including systems for speech recognition (both end-to-end and HMM-DNN), speaker recognition, speech separation, multi-microphone signal processing (e.g, beamforming), self-supervised and unsupervised learning, speech contamination \/ augmentation, and many others. The toolkit will be designed to be a stand-alone framework, but simple interfaces with well-known toolkits, such as Kaldi will also be implemented.<\/p>\n

SpeechBrain is currently under development and has been announced in September 2019. A first alpha version will be available in the next months.<\/p>\n

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Sponsors<\/h3><\/div><\/div><\/div><\/div>

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<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

SpeechBrain (SpeechBrain)Date: 09\/2019 – 12\/2021Funding: AutresCall: Partners: Mila (Canada), LIA (France), PyTorch, IBM Research AI, fluent.ai (Canada)URL: https:\/\/speechbrain.github.ioLIUM Participant(s): Anthony LarcherSylvain MeignierSpeechBrain is an open-source and all-in-one speech toolkit relying on PyTorch. The goal is to create a single, flexible, and user-friendly toolkit that can be used to easily develop state-of-the-art speech technologies, including systems […]<\/p>\n

READ MORE<\/span><\/i><\/span><\/a><\/p>\n","protected":false},"author":14,"featured_media":24188,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[45],"tags":[49],"acf":[],"_links":{"self":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/24183"}],"collection":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/comments?post=24183"}],"version-history":[{"count":0,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/24183\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media\/24188"}],"wp:attachment":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media?parent=24183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/categories?post=24183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/tags?post=24183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}