Speaker Recognition in Deeply Audio AI solution identifies who is speaking within a second, even in noisy environments.
Speaker Verification differentiates between the voice of an individual from other voices. For instance, if you register the voice of the call center staff, the AI can distinguish it from the voice of others.
Speaker Identification can discern between various voices.
Emotion Analysis accurately classifies the positive and negative emotions in a speaker's voice. This SDK & API works greatly even in low-quality audio environments such as call centers and conference calls. By using the Emotion Analysis, customer service teams can make an AI-based customer satisfaction assessment system for inbound and outbound calls in call centers, and conference call service providers can add emotion recognition features.
Audio Event Detection
Non-verbal Sound Recognition detects non-verbal sounds from people such as laughs, sighs, tut tuts, sobbing, etc. If a customer has a dataset for a particular sound of interest, it is also possible to build a custom model that detects the sound.
We support high accuracy even in real-world environments through the process of tuning and optimizing our AI models for real-world data, and also provide the ability for customers to customize various AI inference parameters as needed.
Deeply Audio AI technology is already trusted by customers for its high accuracy and robustness even in real-world environments.
We have a lot of experience in detecting special sounds in houses, cars, factories, and other various environments.
Do you want to find out if Audio AI technology applies to your project? Contact us right now!