ETRI has completed the development of voice recognition software for natural language and embarked on its commercialization.
This technology allows call centers to convert the customer voice into real-time text, to store the customer voice in a database, and to analyze the big data.
Companies thus will be able to acquire information on customer interests/inclinations based on their age and sex.
Currently, the global markets for customer voice database analysis for call centers are driven by the United States and Israel. However, since the overseas products analyze major languages only, they have limitations in recognizing Korean language and text, thereby requiring high maintenance costs.
This technology allows call centers to convert the customer voice into real-time text, to store the customer voice in a database, and to analyze the big data.
Companies thus will be able to acquire information on customer interests/inclinations based on their age and sex.
Currently, the global markets for customer voice database analysis for call centers are driven by the United States and Israel. However, since the overseas products analyze major languages only, they have limitations in recognizing Korean language and text, thereby requiring high maintenance costs.
This spurred ETRI to pursue the development of a new technology. This technology is 'Natural language voice recognition, and keyword detection technology' naturally as a vocal voice in perceiving the character or converted to specific words and the automatic selection. This technology is particularly optimized for language data collected at call centers.
"Starting from voice search, voice recognition technology is increasingly being applied to SMS, voice recognition of data recorded at call centers, automatic interpretation, English learning, and navigation. In the near future, this technology will become an important user interface in most areas of our life, such as in automobiles, the home, and the workplace."said Dr. Yun-geun Lee, head of the ETRI Automatic Interpretation AI Research Center.
ETRI is planning to continue developing deep neural networks and high-performance noise treatment technology in order to secure dominance over this technology.
"Starting from voice search, voice recognition technology is increasingly being applied to SMS, voice recognition of data recorded at call centers, automatic interpretation, English learning, and navigation. In the near future, this technology will become an important user interface in most areas of our life, such as in automobiles, the home, and the workplace."said Dr. Yun-geun Lee, head of the ETRI Automatic Interpretation AI Research Center.
ETRI is planning to continue developing deep neural networks and high-performance noise treatment technology in order to secure dominance over this technology.
