Super-large Search Engine
Independently developed high-performance VPR engine, which is the industry's leading real-time retrieval VPR system
Ensure high-quality pickup effect by the speech enhancement technology based on microphone array
Reduce noise actively, effectively eliminate the interference of noise from indoor fans and air conditioners as well as the human voice interference in other directions and effectively eliminate the muddy sound caused by strong echo to ensure the output audio clarity
The acquisition terminal carries out quality detection on the collected voice quality, including statistics of the effective duration, chipping ratio, average energy and other parameters of the data, which further ensures the quality of the collected data
Convenient function customization and secondary development through its own operating system
Independently developed high-performance VPR engine, which is the industry's leading real-time retrieval VPR system
Automatically detect the incoming speech for unreported identity information, emotional instability, mechanical repetitive content, multi-person speech and other verification indicators through AI intelligent algorithm and support the authenticity and integrity check of voiceprint recording and speech synthesis detection
Adapt to different types of speech inspection materials and support collection of speed information by standardized collection, mobile phone, network software and recording pen or voiceprint file import. The algorithm performance is stable under different noise environments, text types and cross-channel conditions
Quickly confirm the speaker’s identity and language and detect the sensitive content in the call through the pre-established key personnel voiceprint database to quickly provide new clues and evidence for the case investigation
Choose to establish the voiceprint library for exemplary case, and upload the materials and samples involved in the cases to the library for unified management of the voiceprint
Conduct unified quality inspection on all collected speech and case materials in the jurisdiction, improve the quality of speech data collected at the grassroots level, and lay a solid foundation for the application of the voiceprint data