Powerful technologies in speech recognition, speech synthesis and semantic understanding
Our LC-BLSTM-DNN/LFR-DFSMN hybrid model can reduce the error rate by 30% compared with the traditional method; the LFR decoding technology can increase the decoding rate by more than 3 times and formulates exclusive models for specific fields to optimize recognition
Accumulated wealth of industry lexiconsEnsure natural and expressive synthesized sounds with Top MOS score in the industrySupport different types of voices such as standard male and female voices, gently sweet voices etc, as well as dynamic adjustment of speech volumn, speech rate and pitch etc.
Our NLP semantic understanding technology has strong natural language understanding capabilities. Through dialogue segmentation, intelligent word segmentation, multi-dimensional feature extraction, it can perfectly achieve anthropomorphic interaction, quickly understand dialogue text, and analyze customer intent on different business scenarios
One logistic company
Our customer has used our AI voice Chatbot to increase the shipping efficiency as well as customer experience by leveraging synthesized or real human voice Chatbot to send simple notification or carry out single/multiple rounds of dialogue with customers, to confirm the best shipping time or drop off location to the customer.
One e-commerce customer
In today's world, it is very important for e-commerce enterprises to quickly and accurately respond to consumer demand. In the past, our e-commerce enterprise customer has been using manual customer service and could not provide services to their end customers at any time. This shortcoming together with other problems such as long waiting time and unstable emotions of human agents had led some lose of potential customers. After applying our AI text Chatbot, the cost of customer service can be reduced by more than 50%. Simply by configuring the knowledge base and service model, our Chatbot can automatically reply, guide and recommend products for customers at anytime. The service efficiency is greatly increased, and the customer satisfaction and evenue have been significantly improved.