
We recognize the sentiment of a person in voice-only environments such as phone calls and smart speakers
Most advanced deep learning technology for audio event detection and context recognition
Our solutions are built over 14,000 GB audio datasets that we have gathered from real home environments. It works perfectly even in noisy home environments
Our deep learning model immediately detects audio events even in resource constrained devices. Improve customer experience with our real-time audio analysis technology
Try our audio API in your mobile apps, IoT devices, web services, and any other products you already have without any additional cost
Our sound AI technology is designed for human voice and home sounds
We recognize the sentiment of a person in voice-only environments such as phone calls and smart speakers
We separate a voice of a registered speaker from other voices, and help focus on the important speaker
Not only do we detect baby crying in uncontrolled noise environments, but we also analyze why the baby is crying
Our solution isn’t limited to human sounds. We also detect and analyze sounds in domestic environments
People can understand the context by just listening the sound. Baby crying, dog barking, wind blowing, laughing... In the real-world, there are so much information that cannot be converted into text. With Deeply Audio AI solution, you can analyze and utilize the audio context information which text-based AI solutions cannot analyze.
Learn moreAs a member of the first batch of Facebook Accelerator in Asia region, we had the opportunity to introduce our products in Facebook developer conference (F8) in 2019
We joined Google for Startups batch program in 2019, and we have been supported by experts and advisors in Google
We provide our audio AI technology for voice-based sentiment recognition system to LG CNS
Speaker
CEO and co-founder, Deeply
Participants
CIO, Deeply
Data Scientist, Deeply
Invited Panel
CEO and co-founder, Deeply
We have a lot of experience to detect special sounds in house, cars, factories, and other various environments.
Do you want to find out if audio AI technology can be applied to your project? contact us right now!