[AUDITORY] Postdoctoral Position in Multi-channel Audiovisual Speaker Separation ("Wang, Deliang" )

Subject: [AUDITORY] Postdoctoral Position in Multi-channel Audiovisual Speaker Separation From: "Wang, Deliang" <dwang@xxxxxxxx> Date: Mon, 1 Aug 2022 17:53:59 +0000 --_000_BYAPR01MB3896A676CB9CB6C942B4E06FDB9A9BYAPR01MB3896prod_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable A postdoctoral position is immediately available under the supervision of P= rof. DeLiang Wang in the Department of Computer Science & Engineering, Ohio= State University. The postdoc project seeks to develop multimodal, multi-c= hannel algorithms to perform speaker separation in noisy and reverberant co= nditions, in order to substantially elevate separation, localization, and a= utomatic speech recognition performances in real-world conditions. More spe= cifically, the candidate will investigate deep learning methods for robust = speaker separation by leveraging audio and visual inputs. The project also = aims for causal and lightweight neural networks to facilitate real-time on-= device implementation. The appointment will be initially for one year, with potential extension fo= r 2 two more years. The position carries competitive compensation, and the = successful candidate will join a leading laboratory in deep learning based = speech separation. To apply, send a cover letter, CV, and contact informati= on for 2-3 references, to DeLiang Wang (dwang (at) cse.ohio-state.edu). App= lications received by August 31, 2022 will be given full consideration, and= later applications will be considered until the position is filled. ------------------------------------------------------------ DeLiang Wang, Professor Co-Editor-in-Chief, Neural Networks Department of Computer Science and Engineering The Ohio State University 2015 Neil Ave. Columbus, OH 43210-1277, U.S.A. Phone: 614-292-6827 (OFFICE); 614-292-7402 (LAB) http://www.cse.ohio-state.edu/~dwang "Happiness =3D Reality - Expectation" --_000_BYAPR01MB3896A676CB9CB6C942B4E06FDB9A9BYAPR01MB3896prod_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr= osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:= //www.w3.org/TR/REC-html40"> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"= > <meta name=3D"Generator" content=3D"Microsoft Word 15 (filtered medium)"> <style></style> </head> <body lang=3D"EN-US" link=3D"#0563C1" vlink=3D"#954F72" style=3D"word-wrap:= break-word"> <div class=3D"WordSection1"> A postdoctoral posi= tion is immediately available under the supervision of Prof. DeLiang Wang i= n the Department of Computer Science & Engineering, Ohio State Universi= ty. The postdoc project seeks to develop multimodal, multi-channel algorithms to perform speaker separation in nois= y and reverberant conditions, in order to substantially elevate separation,= localization, and automatic speech recognition performances in real-world = conditions. More specifically, the candidate will investigate deep learning methods for robust speaker separa= tion by leveraging audio and visual inputs. The project also aims for causa= l and lightweight neural networks to facilitate real-time on-device impleme= ntation. <o:p></o:p> <o:p> </o:p></= span> The appointment wil= l be initially for one year, with potential extension for 2 two more years.= The position carries competitive compensation, and the successful candidat= e will join a leading laboratory in deep learning based speech separation. To apply, send a cover letter, CV, = and contact information for 2-3 references, to DeLiang Wang (dwang (at) cse= .ohio-state.edu). Applications received by August 31, 2022 will be given fu= ll consideration, and later applications will be considered until the position is filled.<o:p></o:p> <o:p> </o:p></= span> -------------------= -----------------------------------------<o:p></o:p> DeLiang Wang, Profe= ssor<o:p></o:p> Co-Editor-in-Chief,= Neural Networks<o:p></o:p> Department of Compu= ter Science and Engineering<o:p></o:p> The Ohio State Univ= ersity<o:p></o:p> 2015 Neil Ave.<o:p>= </o:p> Columbus, OH 43210-= 1277, U.S.A.<o:p></o:p> <o:p> </o:p></= span> Phone: 614-292-6827= (OFFICE); 614-292-7402 (LAB)<o:p></o:p> http://www.cse.ohio= -state.edu/~dwang<o:p></o:p> <o:p> </o:p> "Happiness =3D Reality - Expectation"<o:p>= </o:p> <o:p> </o:p> </div> </body> </html> --_000_BYAPR01MB3896A676CB9CB6C942B4E06FDB9A9BYAPR01MB3896prod_--

This message came from the mail archive
src/postings/2022/
maintained by:

DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University