Subject: [AUDITORY] Speech Research Internship - Summer 2020 @xxxxxxxx Sonos, Santa Barbara, CA From: Daniele Giacobello <giacobello@xxxxxxxx> Date: Fri, 31 Jan 2020 13:26:21 -0800 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--0000000000003d669f059d763a70 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Sonos is currently recruiting PhD candidates for an internship on the Advanced Development Team. As the Speech Research Intern, you=E2=80=99ll he= lp us re-imagine how we use voice to control our music experiences. The team is currently involved in improving the current voice and audio solutions that can be found in Sonos iconic products like the Sonos One, Sonos Beam, and the recently launched Sonos Move. Ideally, you will have a background in one (or more) of the following disciplines: =E2=80=A2 Multichannel signal processing algorithm development(e.g., beamfo= rming, noise suppression, acoustic echo cancellation, source separation) =E2=80=A2 Audio and speech content identification and classification, (e.g.= , acoustic scene analysis, keyword spotting, automatic speech recognition, speaker identification) =E2=80=A2 Privacy-preserving and low-footprint machine learning techniques The duration and period of the internship are flexible (3-6 months). The location is Santa Barbara, CA. QUALIFICATIONS What You=E2=80=99ll Do: =E2=80=A2 Develop and refine speech-centric algorithms =E2=80=A2 Implement automatic test infrastructures to evaluate the algorith= ms you develop =E2=80=A2 Meet with the team to present findings and update progress Skills You=E2=80=99ll Need: =E2=80=A2 PhD candidate preferred =E2=80=A2 Proficiency in advanced digital signal processing and machine lea= rning techniques for speech enhancement and recognition =E2=80=A2 Proficiency with algorithm design software like Matlab or Python = required =E2=80=A2 Familiarity with C/C++ and ASR toolkits (e.g., Kaldi) preferred =E2=80=A2 Familiarity with deep learning tools (e.g., TensorFlow, Keras) pr= eferred =E2=80=A2 Familiarity with basic concept of acoustics (e.g., room modeling,= driver and microphone characteristics) =E2=80=A2 Passion for data-driven experimental analysis Apply online at https://careers.sonos.com/jobs/JobDetail/Speech-Audio-Research-Intern/6873, if there's a good match, we'll be in touch shortly with next steps! If you have any questions, feel free to contact Daniele Giacobello at daniele.giacobello@xxxxxxxx --0000000000003d669f059d763a70 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Sonos is currently recruiting PhD candidates for an intern= ship on the Advanced Development Team. As the Speech Research Intern, you= =E2=80=99ll help us re-imagine how we use voice to control our music experi= ences.<br><br>The team is currently involved in improving the current voice= and audio solutions that can be found in Sonos iconic products like the So= nos One, Sonos Beam, and the recently launched Sonos Move.<br><br>=C2=A0Ide= ally, you will have a background in one (or more) of the following discipli= nes:<br>=E2=80=A2 Multichannel signal processing algorithm development(e.g.= , beamforming, noise suppression, acoustic echo cancellation, source separa= tion)<br>=E2=80=A2 Audio and speech content identification and classificati= on, (e.g., acoustic scene analysis, keyword spotting, automatic speech reco= gnition, speaker identification)<br>=E2=80=A2 Privacy-preserving and low-fo= otprint machine learning techniques<br><br>The duration and period of the i= nternship are flexible (3-6 months). The location is Santa Barbara, CA. <br= ><br>QUALIFICATIONS<br>What You=E2=80=99ll Do:<br>=E2=80=A2 Develop and ref= ine speech-centric algorithms<br>=E2=80=A2 Implement automatic test infrast= ructures to evaluate the algorithms you develop<br>=E2=80=A2 Meet with the = team to present findings and update progress<br><br>Skills You=E2=80=99ll N= eed:<br>=E2=80=A2 PhD candidate preferred<br>=E2=80=A2 Proficiency in advan= ced digital signal processing and machine learning techniques for speech en= hancement and recognition<br>=E2=80=A2 Proficiency with algorithm design so= ftware like Matlab or Python required<br>=E2=80=A2 Familiarity with C/C++ a= nd ASR toolkits (e.g., Kaldi) preferred<br>=E2=80=A2 Familiarity with deep = learning tools (e.g., TensorFlow, Keras) preferred<br>=E2=80=A2 Familiarity= with basic concept of acoustics (e.g., room modeling, driver and microphon= e characteristics)<br>=E2=80=A2 Passion for data-driven experimental analys= is <br><br><br>Apply online at=C2=A0<a href=3D"https://careers.sonos.com/jo= bs/JobDetail/Speech-Audio-Research-Intern/6873">https://careers.sonos.com/j= obs/JobDetail/Speech-Audio-Research-Intern/6873</a>,<br>if there's a go= od match, we'll be in touch shortly with next steps! =C2=A0<br><br>If y= ou have any questions, feel free to contact Daniele Giacobello at <a href= =3D"mailto:daniele.giacobello@xxxxxxxx" target=3D"_blank">daniele.giacobel= lo@xxxxxxxx</a><br></div> --0000000000003d669f059d763a70--