Deeply integrate GAN, TDNN, LSTM, RNN and other models to avoid the natural defects of a single model and create a composite and efficient model system
A three-level labeling system, which divides labels carefully, makes risk control easy to adapt and easy to adjust
The leading Sexual Noise recognition technology and RNN voice-to-text technology can effectively identify special sounds from different countries and regions
Accurately identify pornographic, vulgar, filthy , and other undesirable voice content in the audio
Based on Bi-GRU and Attention model, it can accurately identify voices containing panting, moaning, and other illegal sounds
Accurately identify illegal content such as drugs, gambling, contraband, and prohibited behaviors contained in the audio
voice information containing insults, abuse, slander, etc.
Accurately identify illegal spam advertisements containing contact information and diversion voice content of competing products
Support multiple Voice label identification, through voice analysis, judge information about children, teenagers and other minors