
Empowering AI with human-like sound understanding for diverse applications.
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Cochl offers a generous free tier with optional paid upgrades for advanced features.
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Cochl.Sense is capable of analyzing acoustic events in real-time to identify specific sounds such as gunshots, screams, glass breaks, baby cries, fire/smoke alarms, coughs, dog barks, and doorbells. This allows machines to understand various occurrences in their environment.
Cochl.Sense goes beyond speech recognition by understanding a wide range of 'sound' events, not just human speech. It leverages proprietary audio/ML technology to provide a comprehensive sound AI system that interprets environmental acoustics like a human.
Cochl.Sense offers flexible deployment through both a Cloud API and an Edge SDK. The Cloud API provides real-time sound AI that is scalable and always up-to-date, while the Edge SDK allows for local processing on devices, ensuring privacy and stability without requiring an internet connection.
Cochl.Sense boasts a high accuracy of 93% (F1-score) as evaluated by IEEE in real-world conditions. This high level of accuracy and robustness is achieved through its in-house, end-to-end deep learning technology.
Yes, Cochl.Sense is designed with generalized and scalable capabilities, meaning it has no dependency on specific microphone types or environmental conditions. This allows it to be applied effectively in diverse settings across various industries.
The Cochl.Sense Edge SDK allows for local processing of audio data directly on the device, which ensures enhanced privacy as data never leaves the device. It also provides extra stability and functions without requiring an internet connection, making it suitable for offline or sensitive environments.
Source: cochl.ai