Challenges in Content Recognition
With the rapid development of the internet, smart devices, and various emerging businesses, internet data has been growing explosively and is subject to diverse uncontrollable risks, such as pornographic content and spam ads. Content recognition has become an urgently needed capability for UGSV, news, and live streaming platforms. However, traditional recognition means are costly, and enterprise content operations are faced by new technical challenges.
AMS Overview
Tencent Cloud Audio Moderation System (AMS) is a smart audio recognition service for moderating the audio uploaded by users. It delivers a high recognition accuracy and recall rate, meets the needs for content recognition in multiple dimensions, and has been constantly improved in its recognition standards and capabilities in response to the changing regulatory requirements.
It can detect various scenes in audio/audio stream and accurately recognize content that may be offensive, unsafe, or inappropriate, which effectively reduces the risks of non-compliant content and recognition costs.
It can accurately recognize pornographic content to filter audio of custom violation types. The recognition results include three categories: normal, suspected, and non-compliant. We recommend you allow normal audio, manually recognize suspected audio, and block non-compliant audio, so as to reduce the labor costs and increase the recognition efficiency.
It provides services and capabilities in the form of open APIs. You can call them to get recognition results and efficiently create a smart business system to increase the efficiency of business operations.
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