Check out your Company Bowl for anonymous work chats.
Permission granted? The serious legal risks associated with the use of online data for machine learning. Read the full article on our website
All sounds are not created equal. When it comes to training and evaluating sound recognition systems which deliver consistently good performance in consumer applications, you cannot use recordings downloaded from the internet (YouTube, Freesound, etc.) due to a range of technical and legal limitations. Read the full technical blog on our website.
This week we are featured on the NVIDIA AI Podcast. We spoke to Noah Kravitz and have an in-depth conversation about how you teach machines to listen
At the heart of our Alexandria™ data platform is the Alexandria dataset, the world’s largest, commercially-exploitable dataset for audio ML tasks. It now features 40 million labelled recordings across 1,200 sound classes and includes over half-a-billion metadata points. Read more in the full blog piece on our website.
We recently talked about our soft-temporal modelling design philosophy and why it was so important to our technology. In the blog we highlighted one of the significant challenges with understanding sound, which is that sounds vary, even if they are considered the same class. Find out more about the important role of augmentation in ML by reading the full blog on our website.
ABI Research – one of the world’s most respected analyst firms – conducted an independent and in-depth examination of deep learning (DL)-based ambient sound processing vendors and concluded that “Audio Analytic came out on top in the competitor ranking, scoring well across all criteria.” Read the full blog on our website
During today’s Snapdragon Tech Summit, Hsin-I Hsu , Staff Product Manager at Qualcomm Technologies, Inc., highlighted how our Media Tagging technology has been optimized to create exceptional experiences for users on new Snapdragon® 8 Gen 1 Mobile Platform-based smartphones by tagging their photos and videos with the sounds that were around them.
We were proud to welcome the House of Lords yesterday as part of an inquiry into the work of digital regulators by the Communications and Digital Select Committee. The aim of the inquiry is to investigate the effectiveness of digital regulation, building on the Committee’s previous report Regulating in a digital world, which was published in March 2019.
ABI Research – one of the world’s most respected analyst firms – conducted an independent and in-depth examination of deep learning (DL)-based ambient sound processing vendors and concluded that “Audio Analytic came out on top in the competitor ranking, scoring well across all criteria.” Read the full blog on our website
Our vision is to create exceptional human experiences through a greater sense of hearing. The ability to teach machines to understand sound will play a foundational role in human-centered experiences which are pivotal to ambient intelligence/computing and the metaverse. A ‘greater sense of hearing’ will connect us to the past, help us be in the present and anticipate what we need in the very near future. Read the full article
