[AUDITORY] Vacancy =?UTF-8?Q?=E2=80=93_job_opening=3A_Postdoctoral_ASR_=E2=80=93_?=Speech Researcher on the project BLISS (Helmer )


Subject: [AUDITORY] Vacancy =?UTF-8?Q?=E2=80=93_job_opening=3A_Postdoctoral_ASR_=E2=80=93_?=Speech Researcher on the project BLISS
From:    Helmer  <w.strik@xxxxxxxx>
Date:    Fri, 19 Oct 2018 09:13:59 +0200
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

This is a multi-part message in MIME format. --------------D1B25B4F4808152874D742F4 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum2.it.mcgill.ca id w9J7E2q2006503 Application deadline: 28 October 2018 Vacancy: Postdoctoral ASR =E2=80=93 Speech Researcher on the project BLISS: Behaviour-based Language-Interactive Speaking Syste= ms The Centre of Language and Speech Technology (CLST) at Radboud=20 University Nijmegen has a vacancy for a post-doctoral speech technology=20 researcher. BLISS [http://hstrik.ruhosting.nl/bliss/] combines research=20 on how using Big Data and information extraction can make a substantial=20 contribution to self-management and improvement of the individual health=20 situation. In this project we will build a smart, personalized, spoken=20 dialogue system (SDS) supporting self-management that is able to=20 meaningfully communicate with people about issues regarding their=20 personal health, well-being and happiness using Automatic Speech=20 Recognition (ASR). For this SDS we need to personalise the ASR component=20 to adapt to speaker variation and to topic changes in dialogue. As a=20 researcher you will combine knowledge of Deep Neural Networks (DNNs,=20 Kaldi) based ASR with experience in SDS. For more information: http://hstrik.ruhosting.nl/asr-postdoc-bliss/ Regards, Helmer http://hstrik.ruhosting.nl/contact/ =2E --------------D1B25B4F4808152874D742F4 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum2.it.mcgill.ca id w9J7E2q2006503 <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3Dutf= -8"> </head> <body text=3D"#000000" bgcolor=3D"#FFFFFF"> <font face=3D"Calibri"><font face=3D"Calibri">Application deadline: 2= 8 October 2018</font></font><br> <br> <div class=3D"moz-forward-container"> <div class=3D"moz-forward-container"><font face=3D"Calibri"> Vacanc= y: Postdoctoral ASR =E2=80=93 Speech Researcher<br> on the project BLISS: Behaviour-based Language-Interactive Speaking Systems<br> <br> The Centre of Language and Speech Technology (CLST) at Radboud University Nijmegen has a vacancy for a post-doctoral speech technology researcher. BLISS [<a moz-do-not-send=3D"true" class=3D"moz-txt-link-freetext" href=3D"http://hstrik.ruhosting.nl/bliss/">http://hstrik.ruho= sting.nl/bliss/</a>] combines research on how using Big Data and information extraction can make a substantial contribution to self-management and improvement of the individual health situation. In this project we will build a smart, personalized, spoken dialogue system (SDS) supporting self-management that is able to meaningfully communicate with people about issues regarding their personal health, well-being and happiness using Automatic Speech Recognition (ASR). For this SDS we need to personalise the ASR component to adapt to speaker variation and to topic changes in dialogue. As a researcher you will combine knowledge of Deep Neural Networks (DNNs, Kaldi) based ASR with experience in SDS.<br> <br> For more information: <a moz-do-not-send=3D"true" class=3D"moz-txt-link-freetext" href=3D"http://hstrik.ruhosting.nl/asr-postdoc-bliss/">http:/= /hstrik.ruhosting.nl/asr-postdoc-bliss/</a><br> <br> Regards, Helmer<br> =C2=A0=C2=A0=C2=A0 <a moz-do-not-send=3D"true" class=3D"moz-txt= -link-freetext" href=3D"http://hstrik.ruhosting.nl/contact/">http://hstrik.ru= hosting.nl/contact/</a><br> .</font><br> </div> </div> </body> </html> --------------D1B25B4F4808152874D742F4--


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