VOICEPRINT RECOGNITION TECHNOLOGIES

Same as Fingerprint, Voiceprint is a unique biological feature of people, could be used to recognize “Who are you”.

Comparing with face recognition and fingerprint recognition, voiceprint recognition has obvious advantages such as low sensitive, low cost, and easier to capture. Herewith, it has been widely used on non-contact or remote speaker identification scenarios.

Based on self-developed voiceprint recognition technologies, Junlin is providing more convenient and safer ID recognition solutions to customers in different fields.

Voiceprint Recognition Voice Wake-up Voice Expansion Voiceprint Database

Based on the present voiceprint recognition technologies, Junlin had developed the methods of recognizing more complicated properties of voiceprint independently, which already able to recognize the users' emotion, age, gender. Verify different users within group at the large scale 1:N is also realized.


Technical Advantages


Emotion Recognition

Extract the voice features related to the common emotions of people such as joy, anger, sorrow and happiness, and build the voiceprint models with deep learning algorithm, then the algorithm could be used to recognize the emotion of specific people.

Application Scenarios: Telephone Customer Service, Remote Communication, Lie Detection and Security Check, etc.

Age Classification

Extract the voice features related to different age groups, and build the voiceprint model with deep learning algorithm, then the algorithm could be used to recognize the age range of specific people.


Application Scenarios: Users Group Analysis, Entertainment Apps, etc.

Gender Identification

Extract the voice features related to different gender groups, and build the voiceprint model by deep learning algorithm, then the algorithm could be used to recognize the gender of specific people.


Application Scenarios: Users Group Analysis, Entertainment Apps, etc.

Users Verification within Group

Extract the voice features of different people from the existing audio and compared with the new audio, then find the specific voiceprint–matching people.


Application Scenarios: Entertainment Apps, Criminal Detection, etc.

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