Multimodal perception

1. Acoustic front-end processing algorithm

Equipped with a rich and diverse suite of pre-acoustic algorithms to support flexible deployment and selection adaptation on demand. For low-power operation, real-time noise reduction,EffectiveVoiceDetectionSuch as core scene depth optimization, while compatible with all kinds of audio acquisition and voice interaction needs, adapt to the multi-use environment, balance the radio effect, power consumption performance and interactive experience.

2. Offline speech recognition algorithms for global mainstream languages

The offline speech recognition algorithm on the self-developed adaptation side covers the world's mainstream languages and can run independently without relying on the cloud network. After lightweight and deep optimization, the algorithm occupies low resources, responds quickly, and has stable and reliable recognition accuracy. It can adapt to complex environments such as no network and weak network to meet the needs of various scenarios of cross-language voice interaction.

3. Visual perception algorithm

Covers human detection, population statistics, sitting posture recognition, environmental scene recognition and OCRCharacter recognition ability. Relying on visual perception technology, it realizes multi-dimensional intelligent analysis, adapts to diversified application scenarios such as daily monitoring, state judgment, information reading, etc. The algorithm runs lightweight and efficiently, and adapts to end-side equipment deployment.