Reference number : GC-2017-Q3-00490, amendment number : , agreement type : G, recipient legal name : Bolic, Miodrag (University of Ottawa)|Bolic, Miodrag (Université d’Ottawa), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : In this project, we will address the problem of improving quality of the audio signals in environments with_x000D_
multiple microphones and multiple speakers. In future smart houses, it is envisioned that there would be a_x000D_
variety of sensors including many inexpensive microphones connected wirelessly to a central station. To_x000D_
improve the quality of audio signals, data from multiple microphones will need to be combined using machine_x000D_
learning and signal processing algorithms._x000D_
One of the challenges that we will address in this project is to synchronize audio signals from each microphone_x000D_
with low latency so that it appears to the user as if there is no delay in processing. Another challenge is to use_x000D_
multiple microphones to supress noise and amplify the audio signals of interest._x000D_
This project is beneficial to Canada because it has potential to improve future smart homes. In addition, Canada_x000D_
is investing significantly in machine learning and artificial intelligence, and these methods will be used in this_x000D_
project. The supporting company will benefit from the results of this project because the methods developed in_x000D_
this research could be directly applied to their current products., program purpose french : In this project, we will address the problem of improving quality of the audio signals in environments with_x000D_
multiple microphones and multiple speakers. In future smart houses, it is envisioned that there would be a_x000D_
variety of sensors including many inexpensive microphones connected wirelessly to a central station. To_x000D_
improve the quality of audio signals, data from multiple microphones will need to be combined using machine_x000D_
learning and signal processing algorithms._x000D_
One of the challenges that we will address in this project is to synchronize audio signals from each microphone_x000D_
with low latency so that it appears to the user as if there is no delay in processing. Another challenge is to use_x000D_
multiple microphones to supress noise and amplify the audio signals of interest._x000D_
This project is beneficial to Canada because it has potential to improve future smart homes. In addition, Canada_x000D_
is investing significantly in machine learning and artificial intelligence, and these methods will be used in this_x000D_
project. The supporting company will benefit from the results of this project because the methods developed in_x000D_
this research could be directly applied to their current products., agreement title english : Multi-Microphone Signal Processing and Machine Learning, agreement title french : Multi-Microphone Signal Processing and Machine Learning, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-12-13, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada