Subject: [AUDITORY] Speech + Audio Research Internship - Summer 2020 @xxxxxxxx Sonos, Santa Barbara, CA From: Daniele Giacobello <giacobello@xxxxxxxx> Date: Thu, 31 Oct 2019 10:42:15 -0700 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--0000000000006d8bf80596385f12 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Sonos is currently recruiting MSc/PhD candidates for an internship on the Advanced Development Team. As the Speech + Audio Research Intern, you=E2=80= =99ll help us pioneer the way we think about smart audio and voice control. Use your knowledge of statistical signal processing and machine learning to re-imagine how we listen to and 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 and automatic speech recognition =E2=80=A2 Spatial audio reproduction through loudspeaker, e.g. loudspeaker = arrays, wave field synthesis, advanced multi speaker rendering techniques, active sound field control 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 audio and 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 audio and 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 --0000000000006d8bf80596385f12 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Sonos is currently recruiting MSc/PhD candidates for = an internship on the Advanced Development Team. As the Speech + Audio Resea= rch Intern, you=E2=80=99ll help us pioneer the way we think about smart aud= io and voice control. Use your knowledge of statistical signal processing a= nd machine learning to re-imagine how we listen to and control our music ex= periences.<br><br>The team is currently involved in improving the current v= oice and audio solutions that can be found in Sonos iconic products like th= e Sonos One, Sonos Beam, and=C2=A0 the recently launched Sonos Move.<br><br= >=C2=A0Ideally, you will have a background in one (or more) of the followin= g disciplines:<br>=E2=80=A2 Multichannel signal processing algorithm=C2=A0d= evelopment, e.g. beamforming, noise suppression, acoustic echo=C2=A0cancell= ation, source separation<br>=E2=80=A2 Audio and speech content identificati= on and=C2=A0classification, e.g. acoustic scene analysis, keyword spotting = and=C2=A0automatic speech recognition</div><div>=E2=80=A2 Spatial audio rep= roduction through loudspeaker, e.g. loudspeaker=C2=A0arrays, wave field syn= thesis, advanced multi speaker rendering techniques,=C2=A0active sound fiel= d control=C2=A0</div><div><br></div><div>The duration and period of the int= ernship are flexible (3-6 months). The location is Santa Barbara, CA.=C2=A0= </div><div><br>QUALIFICATIONS<br></div><div>What You=E2=80=99ll Do:<br>=E2= =80=A2 Develop and refine audio and speech-centric algorithms<br>=E2=80=A2 = Implement automatic test infrastructures to evaluate the algorithms you dev= elop<br>=E2=80=A2 Meet with the team to present findings and update progres= s<br><br>Skills You=E2=80=99ll Need:<br>=E2=80=A2 PhD candidate preferred<b= r>=E2=80=A2 Proficiency in advanced digital signal processing and machine l= earning techniques for audio and speech enhancement and recognition<br>=E2= =80=A2 Proficiency with algorithm design software like Matlab or Python req= uired<br>=E2=80=A2 Familiarity with C/C++ and ASR toolkits (e.g., Kaldi) pr= eferred<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 microphone characteristics)<br>=E2=80=A2 = Passion for data-driven experimental analysis=C2=A0<br><br>Apply online at= =C2=A0<a href=3D"https://careers.sonos.com/jobs/JobDetail/Speech-Audio-Rese= arch-Intern/6873">https://careers.sonos.com/jobs/JobDetail/Speech-Audio-Res= earch-Intern/6873</a>,</div><div>if there's a good match, we'll be = in touch shortly with next steps!=C2=A0=C2=A0<br></div><div><br></div><div>= If you have any questions, feel free to contact Daniele=C2=A0Giacobello=C2= =A0at=C2=A0<a href=3D"mailto:daniele.giacobello@xxxxxxxx">daniele.giacobel= lo@xxxxxxxx</a></div></div> --0000000000006d8bf80596385f12--