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Audio Analytic is a British company headquartered in Cambridge, England that has developed a patented sound recognition software framework called ai3, which provides technology with the ability to understand context through sound. This framework includes an embeddable software platform that can react to a range of sounds such as smoke alarms and carbon monoxide alarms, window breakage, infant crying and dogs barking.
| Company type | Private |
|---|---|
| Industry | Software, Embedded |
| Founded | Cambridge, UK (2010) Series A Investment |
| Founder | Dr. Christopher Mitchell (CEO) |
| Headquarters | Cambridge, UK |
Key people | Dr. Robert Swann (chairman) Alphamosaic, Amy Weatherup (director) |
| Products | Sound Recognition Systems |
| Website | www |
History edit
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.[citation needed]
In 2022 Audio Analytic was bought by Facebook and Instagram owner Meta.[1]
Products edit
Audio Analytic sells ai3, a 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.[2]
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.[3][4][5] They also released an accompanying software framework that implements the PSDS.[6]
References edit
- ^ Field, Matthew (6 November 2022). "Cambridge start-up is bought by Facebook owner as Zuckerberg pushes deeper into the metaverse". The Telegraph. ISSN 0307-1235. Retrieved 7 November 2022.
- ^ Bedingfield, Will (5 September 2019). "AI sound recognition will help protect your home from burglary". Wired UK. ISSN 1357-0978. Retrieved 1 October 2020.
- ^ 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). pp. 61–65. arXiv:1910.08440. doi:10.1109/ICASSP40776.2020.9052995. ISBN 978-1-5090-6631-5. S2CID 204788761.
- ^ DCase 2020 Challenges. "Sound event detection and separation in domestic environments - DCASE". dcase.community. Retrieved 4 August 2020.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ 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.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Audio Analytic (22 July 2020). "audioanalytic/psds_eval GitHub repository". GitHub. Audio Analytic. Retrieved 4 August 2020.
External links edit
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