Automatic Speech Recognition mainly consists of feature extraction technique, pattern matching criterion and Model Training to convert speech into text in the course of man-machine interaction and it uses stream recognition technology to implement "Speak and Display"
Provide voice solutions for scenarios such as retail, customer service and finance
Customer Service Recording Analysis will convert the conversation between a user and the customer service personnel into text to mine the user's emotion, analyze the answering level of the customer service personnel and implement big data analysis of the audio
Retail Commodity Search Users can search the commodity they want by voice instead of typing to make the search more efficient
Financial Robot Advisor Users can get information related to finance by way of conversion
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