Audio Analytic

Audio Analytic is a British company headquartered in Cambridge, England that has developed patented intelligentsound recognition technology. The embedded software platforms ai3™ and ai3-nano™ provide consumer technology with the ability to understand context through sound. These software platforms are suitable for a range of consumer products from smart speakers and video doorbells, to smartphones and true wireless earbuds.

Audio Analytic
TypePrivate
IndustrySoftware, Embedded
FoundedCambridge, UK (2010 (2010)) Series B Investment
FounderDr. Christopher Mitchell (CEO)
HeadquartersCambridge, UK,
UK
ProductsSound recognition technology - ai3™ and ai3-nano™
Number of employees
50 (2020)
Websitewww.audioanalytic.com

History

The company was based on founder Christopher Mitchell's doctoral research from Anglia Ruskin University, with seed investment from EEDA (East of England Development Agency) and local Cambridge Angels investors.[1]

Development milestones
  • 2011 Audio Analytic announced the version one release of its professional security products Glass Break, Aggression, Car Alarm and Gunshot.
  • 2017 Audio Analytic announced a commercial partnership with hearables company Bragi to embed sound recognition in earphones.
  • 2018 Audio Analytic announced a partnership with Hive (part of Centrica plc) to embed sound recognition technology into multiple products.[2]
  • 2018 Audio Analytic announced that their sound recognition software has been launched alongside Alexa and Netflix on the Freebox Delta from European telecoms company Iliad.
  • 2020 Audio Analytic announce a partnership with Qualcomm to embed ai3-nano™ sound recognition technology on the Qualcomm Sensing Hub. [3]

Products

Audio Analytic sells ai3™ and ai3-nano™, a sound recognition software package that is embedded on a device, along with an assortment of sound profiles that the software can recognise, including warning alarms, window breakage, an infant crying, and voice activity.[4]

Audio Analytic developed the Polyphonic Sound Detection Score (PSDS), a metric for evaluating the performance of sound recognition algorithms when applied to polyphonic sound recordings.[5][6][7] They also released an accompanying software framework that implements the PSDS.[8]

References
  1. "Audio Analytic - Crunchbase Company Profile & Funding". Crunchbase. Retrieved 2021-01-22.
  2. Scialom, Mike (2018-03-18). "Home hubs get smarter with help from Audio Analytic". Cambridge Independent.
  3. https://www.qualcomm.com/news/releases/2020/12/01/qualcomm-redefines-premium-snapdragon-tech-summit-digital-2020
  4. Bedingfield, Will (2019-09-05). "AI sound recognition will help protect your home from burglary". Wired UK. ISSN 1357-0978. Retrieved 2020-10-01.
  5. Bilen, Cagdas; Ferroni, Giacomo; Tuveri, Francesco; Azcarreta, Juan; Krstulovic, Sacha (May 2020). "A Framework for the Robust Evaluation of Sound Event Detection". ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): 61–65. arXiv:1910.08440. doi:10.1109/ICASSP40776.2020.9052995.
  6. DCase 2020 Challenges. "Sound event detection and separation in domestic environments - DCASE". dcase.community. Retrieved 4 August 2020.
  7. Wisdom, Scott; Erdogan, Fonseca, Eduardo and Salamon, Justin and Seetharaman, Prem and Hershey, John R., Hakan; Ellis, Daniel P. W.; Serizel, Romain; Turpault, Nicolas; Fonseca, Eduardo; Salamon, Justin; Seetharaman, Prem; Hershey, John R. (2020). "What's All the FUSS About Free Universal Sound Separation Data?". in preparation.CS1 maint: multiple names: authors list (link)
  8. Audio Analytic (22 July 2020). "audioanalytic/psds_eval GitHub repository". GitHub. Audio Analytic. Retrieved 4 August 2020.


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