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"Recent scientific advances in audio processing enable Audionamix to provide new applications for HD sound that one could only dream of last century. Among them, audio source separation (the scientific domain behind unmixing) can now handle any type of mix, even when the sound has been recorded with a single microphone. The Audionamix research team, highly skilled in source separation, has developed such a technology for both stereo and mono contents. Audionamix is the inventor of a number of patents, and collaborates with the most recognized laboratories in its field such as Télécom ParisTech and INRIA-IRISA in France, and the Technion Institute of Technology in Israel."
- Pierre Leveau, CSO at Audionamix

Our engineers in Paris are working in numerous scientific projects:

Audiohelix

researchaudionamix

Audiohelix develops methods for sound comparison and searching as well as several end-user applications that exploit these methods to retrieve sound or music samples based on specified properties of their content. The methods will be implemented in software that can quickly and accurately search a large database of audio samples and retrieve samples that are similar to a given query. Audiohelix is funded by OSEO under Eureka-Eurostars contract E!5189.

I3Dmusic

researchaudionamix

i3DMusic intends to enable enhanced playback of existing musical content on up to date and emerging 3D audio systems. I3DMusic will create a new class of music playback systems for mono and stereo content by combining specifically designed audio source separation techniques and sound spatialization algorithms into real-time and interactive products, targeted for sound engineers, DJs and consumers. Audionamix is the coordinator of this project. i3DMusic is funded by OSEO under Eureka-Eurostars contract E!5582.

Sarah Project

researchaudionamix

Sarah has developed new tools for the industrialization of 5.1 remixing of existing content. Audionamix was the coordinator of this project. Sarah has been funded by French National Agency for Research (ANR).

Memories

researchaudionamix

Memories has developed a tool that meets high professional standards for researchers, archivists and journalist. A straightforward interchange and long-term document preservation, thanks to a system which adapts to technological developments and provides considerable time-savings in cataloging. Memories has been funded by the sixth framework program from the Information Society Technologies under contract N 035300.

Research Publications

Convolutive common audio signal separation,
Pierre Leveau, Juan Jose Burred, Simon Maller, Xabier Jaureguiberry.
In Proceedings IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011, New Paltz.

Phoneme-Level Text to Audio Synchronization on Speech Signals with Background Music,
Agnes Pedone, Juan Jose Burred, Simon Maller, Pierre Leveau.
In Proceedings Annual Conference of the International Speech Communication Association (Interspeech), 2011, Florence.

Adaptation of source-specific dictionaries in Non-Negative Matrix Factorization for source separation,
Xabier Jaureguiberry, Pierre Leveau, Simon Maller, Juan Jose Burred.
In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, Prague.

Geometric Multichannel Common Signal Separation with Application to Music and Effects Extraction from Film Soundtracks,
Juan Jose Burred, Pierre Leveau.
In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, Prague.

Music+effects extraction using soundtracks with different languages,
Antoine Liutkus, Pierre Leveau.
128th AES Convention, 2010, London.

Sound enhancement using sparse approximation with speclets,
Manuel Moussallam, Si-Mohammed Aziz-Sbai, Pierre Leveau.
In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010, Dallas.

Codebook Approaches for Single Sensor Speech/Music Separation,
R. Blouet, I. Cohen
In Speech Processing in Modern Communication: Challenges and Perspectives, 2010, Springer Verlag

Discriminant Approach within Non-negative Matrix Factorization for Musical Components Recognition,
Z. Rafii, R. Blouet, A. Liutkus.
DMRN+2: Digital Music Research Network One-day Workshop, 2007, London.

Evaluation of several strategies for single sensor source Speech/Music Separation,
R. Blouet, G. Rapaport, I. Cohen and C. Févotte.
In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2008, Las Vegas.

Bayesian blind separation of audio mixtures with structured priors,
C. Févotte
In Proceedings 14th European Signal Processing Conference (EUSIPCO), 2006, Florence. Special session on "Undetermined Sparse Audio Source Separation".

Single sensor source separation using multiple-window STFT representation,
L. Benaroya, R. Blouet, C. Févotte, and I. Cohen.
In Proceedings International Workshop on Acoustic Echo and Noise Control (IWAENC), 2006, Paris.

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