Human Voice
Emotion analysis
We help recognize the sentiment behind people's voices where only the audio can be heard, such as during phone calls and smart speakers
Most advanced deep learning technology for audio event detection and context recognition
Our solutions are built on 14,000 GB audio datasets gathered from real home environments. It works perfectly even in loud and noisy surroundings.
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 help recognize the sentiment behind people's voices where only the audio can be heard, such as during phone calls and smart speakers
We separate the voice of the registered speaker from other voices and help focus on the important details
Not only do we detect baby cries in noisy environments, we also analyze the reasons for the crying
Our solutions are not limited to human sounds. We also detect and analyze sounds in domestic environments
In the real world, there is so much information that cannot be understood through text. With the help of Deeply Audio AI solution, you can analyze and utilize the audio context information which text-based AI solutions cannot examine.
Learn more
As 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 lots of experience in detecting sounds in your house, cars, factories, and other various environments.
Do you want to find out if audio AI technology applies to your project?
Contact us right now!
