Check out your Company Bowl for anonymous work chats.
Why our ‘soft temporal modelling’ design philosophy is key to understanding sounds. Find out more in our latest blog piece
We've recently had two patents granted. Find out how using sound to understand complex contextual events is key to ambient computing. Read more in the full blog piece.
We are excited to announce that for the fifth year running we are sponsoring the DCASE Workshop, alongside Bose, Apple, Google, Facebook, Dolby and others. This year’s annual workshop takes place on the 15th – 19th November 2021 and will be hosted virtually and coordinated by the Universitat Pompeu Fabra in Barcelona, Spain. You can read more about DCASE on our website
Sound recognition will deliver a wave of new experiences on smartphones, and our recent consumer research clearly shows a strong desire from users for these new AI-powered capabilities on their next device. Read the full article on our website
This week marked the start of ICASSP 2021 – the world’s largest conference on acoustics, speech and signal processing — where, for the second year running, we will be presenting a paper on evaluating polyphonic sound detection models. Read more about our paper and the event in our latest blog piece.
Our latest whitepaper looks at the significant financial and reputational risks of poor data practice for AI and machine learning. If you follow poor practices, use questionable public datasets or inappropriate sources, then your AI’s performance is likely to be biased, discriminatory and sub-standard in real-world applications.
We were really pleased to have been invited to this year’s virtual Connections event and to be a part of a panel discussing the exciting use case opportunities for innovative sensor and AI technologies for the smart home.
Today we announce that our Media Tagging and Acoustic Scene Recognition technologies have been pre-validated and optimized for use with the new Qualcomm® Snapdragon™ 778G 5G Mobile Platform, which has just been unveiled and will bring breathtaking 5G and AI performance and capabilities to the smartphone mass-market.
We spoke to Poornima Apte at VentureBeat about the importance of data for machine learning - Proper data hygiene critical as enterprises focus on AI governance.
Audio data quality is essential for sound recognition. There is, however, another reason why taking data seriously is so important: the significant financial and reputational risks that poor practice creates. This is the subject of a detailed whitepaper titled ‘Audio for Machine Learning: The Law and your Reputation‘ that we’ve recently published.
