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Post-Doc/Research position in 3D Audio and audio streams demixing Place: TELECOM ParisTech (ENST), Paris, France Duration: 1 year Start: Any date from January 6th, 2014 Salary: according to background and experience
*Position description* The position is supported by the European project FP7-REVERIE1 and the national project ANR-Edison3D2. The role of the PostDoc/researcher will consist in conducting forefront research in spatial Audio and directly participate to the projects by building a flexible and interactive realtime 3D audio spatializer for binaural reproduction (headphones) and by proposing new schemes for seemless spatial audio format conversion. One of the foreseen research directions would be to combine physical approaches with perceptual approaches in a unified scheme where the low frequency content is physically modeled (this shall in particular represent the early part of the reverberant field, e.g. the direct path and early echoes) and the high frequency content is perceptually modeled. One of the main challenges of this hybrid approach is to reach a homogeneous perception of the reverberant field and a seemless transition between the two paradigms. Another foreseen research direction concerns the design of novel schemes for audio format conversion. Potential strategies would allow for reencoding/remapping of an audio scene into an alternative format (stereo to object/HOA/multichannel) or rely on novel source separation paradigms for extracting main sources and expand background to 3D (background/foreground splitting). This second strategy could rely on an audio objects based representation and on user-guided audio source separation approaches. *TELECOM ParisTech* TELECOM ParisTech is the leading graduate School of Institut TELECOM with more than 160 research professors, 20 associated CNRS researchers and over 250 Engineering degrees, 50 PhD and 150 specialised masters (post graduates) awarded per year. The Audio, Acoustics and Waves research group (AAO) headed by Prof. Gaël Richard gathers 6 permanent staffs, 3 postDocs and over 12 PhD students. In audio signal processing, the group has developed a strong expertise in audio signal processing (source separation, indexing, Audio3D compression, dereverberation/denoising....). More information at http://www.tsi.telecom-paristech.fr/aao/en/ Candidate Profile As minimum requirements, the candidate will have: - A PhD in audio or multimedia signal processing, acoustics, speech processing, statistics, machine learning, computer science, electrical engineering, or a related discipline. - Some knowledge in audio signal processing. - Strong programming skills in Matlab, C/C++. The ideal candidate would also have: - Solid knowledge of spatial audio rendering techniques and source separation techiques - Ability to work in a multi-partner and international collaborative environment. - Strong communication skills in English. Contacts Interested applicants can contact Gaël Richard or Slim Essid for more information or directly email a candidacy letter including Curriculum Vitae, a list of publications and a statement of research interests. - Gael Richard ([email protected]) ; +33 1 45 81 73 65 - Slim Essid ([email protected]).
1
The ultimate goal of REVERIE is to provide the means for building a mixed reality space in which real and virtual worlds engage and seamlessly interact in real‐time, generating compelling and highly realistic immersive environments (http://www.reveriefp7.eu/) 2 The ANR-Edison 3D project aims at increasing knowledge and proposing technical tools that will help actors in the audioindustry to be as independent as possible from the various upcoming formats or methods.
*Position description* The position is supported by the European project FP7-REVERIE1 and the national project ANR-Edison3D2. The role of the PostDoc/researcher will consist in conducting forefront research in spatial Audio and directly participate to the projects by building a flexible and interactive realtime 3D audio spatializer for binaural reproduction (headphones) and by proposing new schemes for seemless spatial audio format conversion. One of the foreseen research directions would be to combine physical approaches with perceptual approaches in a unified scheme where the low frequency content is physically modeled (this shall in particular represent the early part of the reverberant field, e.g. the direct path and early echoes) and the high frequency content is perceptually modeled. One of the main challenges of this hybrid approach is to reach a homogeneous perception of the reverberant field and a seemless transition between the two paradigms. Another foreseen research direction concerns the design of novel schemes for audio format conversion. Potential strategies would allow for reencoding/remapping of an audio scene into an alternative format (stereo to object/HOA/multichannel) or rely on novel source separation paradigms for extracting main sources and expand background to 3D (background/foreground splitting). This second strategy could rely on an audio objects based representation and on user-guided audio source separation approaches. *TELECOM ParisTech* TELECOM ParisTech is the leading graduate School of Institut TELECOM with more than 160 research professors, 20 associated CNRS researchers and over 250 Engineering degrees, 50 PhD and 150 specialised masters (post graduates) awarded per year. The Audio, Acoustics and Waves research group (AAO) headed by Prof. Gaël Richard gathers 6 permanent staffs, 3 postDocs and over 12 PhD students. In audio signal processing, the group has developed a strong expertise in audio signal processing (source separation, indexing, Audio3D compression, dereverberation/denoising....). More information at http://www.tsi.telecom-paristech.fr/aao/en/ Candidate Profile As minimum requirements, the candidate will have: - A PhD in audio or multimedia signal processing, acoustics, speech processing, statistics, machine learning, computer science, electrical engineering, or a related discipline. - Some knowledge in audio signal processing. - Strong programming skills in Matlab, C/C++. The ideal candidate would also have: - Solid knowledge of spatial audio rendering techniques and source separation techiques - Ability to work in a multi-partner and international collaborative environment. - Strong communication skills in English. Contacts Interested applicants can contact Gaël Richard or Slim Essid for more information or directly email a candidacy letter including Curriculum Vitae, a list of publications and a statement of research interests. - Gael Richard ([email protected]) ; +33 1 45 81 73 65 - Slim Essid ([email protected]).
1
The ultimate goal of REVERIE is to provide the means for building a mixed reality space in which real and virtual worlds engage and seamlessly interact in real‐time, generating compelling and highly realistic immersive environments (http://www.reveriefp7.eu/) 2 The ANR-Edison 3D project aims at increasing knowledge and proposing technical tools that will help actors in the audioindustry to be as independent as possible from the various upcoming formats or methods.
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