December 27, 2011
Sinotrust Introduces Voiceprint Recognition System
By Anuradha Shukla, TMCnet Contributor
A Voiceprint Recognition System developed by China-based auto specialist Sinotrust is set to aid users identify a speaker on the basis of the specific characteristics of their voice.
Partly owned by data giant Experian, Sinotrust collects, analyzes and manages information about markets, consumers and businesses for both research/consulting and database marketing purposes.
The company employs over 600 people at its offices in Beijing, Shanghai and Guangzhou. It expects its newly developed Voiceprint Recognition System will help automakers to gain “authentic and reliable” research results available through dealer service satisfaction research projects.
Sinotrust, according to a release, used a planned approach to develop this system. It experimented and deployed a range of technologies to identify an individual.
Fingerprint, hand shape, iris and voiceprint technologies can help in the identification of individuals and Sinotrust notes that out of all these voiceprint can identify a speaker on the basis of the waveform of their voice.
Voiceprint can also give important clues to the physiological and behavioral characteristics of individuals.
This is how a Voiceprint Recognition System works: it records and saves a customer’s voice beforehand, and then generates a model by extracting related voiceprint characteristics.
Businesses who want to identify a previous customer’s identity can do so by comparing his new ‘sound file’ with the voiceprint model recorded in the database.
Read a related article at TMCnet: “Advanced Voice Recognition Systems Updates Status of Interference.”
This article discusses Advanced Voice Recognition Systems that recently provided an update on the status of the Interference in the Board of Patents Appeals and Interferences and a general corporate overview.
Anuradha Shukla is a contributing editor for TMCnet. To read more of her articles, please visit her columnist page.
Edited by Rich Steeves
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