Audio Analytic

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{{Infobox company

| name = Audio Analytic

| logo =

| type = Private

| industry = Software, Embedded

| founded = Cambridge, UK ({{start date|2010}}) Series A Investment

| founder = Dr. Christopher Mitchell (CEO)

| hq_location = Cambridge, UK

| key_people = Dr. Robert Swann (chairman) Alphamosaic, Amy Weatherup (director)

| website = {{URL|www.audioanalytic.com}}

| products = Sound Recognition Systems

}}

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.

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.{{Citation needed|date=February 2020}}

In 2022 Audio Analytic was bought by Facebook and Instagram owner Meta.{{Cite news |last=Field |first=Matthew |date=2022-11-06 |title=Cambridge start-up is bought by Facebook owner as Zuckerberg pushes deeper into the metaverse |language=en-GB |work=The Telegraph |url=https://www.telegraph.co.uk/business/2022/11/06/cambridge-start-up-audio-analytic-bought-facebook-owner-meta/ |access-date=2022-11-07 |issn=0307-1235}}

Products

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.{{Cite magazine|last=Bedingfield|first=Will|date=2019-09-05|title=AI sound recognition will help protect your home from burglary|language=en-GB|magazine=Wired UK|url=https://www.wired.co.uk/article/audio-analytics-sound-map|access-date=2020-10-01|issn=1357-0978}}

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.{{cite book |last1=Bilen |first1=Cagdas |last2=Ferroni |first2=Giacomo |last3=Tuveri |first3=Francesco |last4=Azcarreta |first4=Juan |last5=Krstulovic |first5=Sacha |title=ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |chapter=A Framework for the Robust Evaluation of Sound Event Detection |date=May 2020 |pages=61–65 |doi=10.1109/ICASSP40776.2020.9052995|arxiv=1910.08440 |isbn=978-1-5090-6631-5 |s2cid=204788761 }}{{cite web |last1=DCase 2020 Challenges |title=Sound event detection and separation in domestic environments - DCASE |url=http://dcase.community/challenge2020/task-sound-event-detection-and-separation-in-domestic-environments |website=dcase.community |accessdate=4 August 2020 |language=en}}{{cite journal |last1=Wisdom |first1=Scott |last2=Erdogan, Fonseca, Eduardo and Salamon, Justin and Seetharaman, Prem and Hershey, John R. |first2=Hakan |last3=Ellis |first3=Daniel P. W. |last4=Serizel |first4=Romain |last5=Turpault |first5=Nicolas |last6=Fonseca |first6=Eduardo |last7=Salamon |first7=Justin |last8=Seetharaman |first8=Prem |last9=Hershey |first9=John R. |title=What's All the FUSS About Free Universal Sound Separation Data? |journal=In Preparation |date=2020 |url=http://dcase.community/challenge2020/task-sound-event-detection-and-separation-in-domestic-environments#citation}} They also released an accompanying software framework that implements the PSDS.{{cite web |last1=Audio Analytic|title=audioanalytic/psds_eval GitHub repository|url=https://github.com/audioanalytic/psds_eval|website=GitHub |publisher=Audio Analytic |accessdate=4 August 2020 |date=22 July 2020}}

References

External links

[http://www.audioanalytic.com Official website]

Category:Software companies of the United Kingdom