DOUB Launches SpeechEMR

South Korean health tech startup DOUB has launched SpeechEMR, an automatic voice recognition service that records medical events and converts them into text data in real time.

SpeechEMR provides a recognition rate of higher than 95 percent using artificial intelligence (AI) voice recognition technology specially designed for use in the medical field. Spoken audio data, such as the conversations between doctors and patients or medical dictations, are converted into text in real time, through processes such as noise removal and silent syllable separation. The voice recognition service then edits and saves the medical records with misspelling and omission on display coupled with correct word suggestions and medical terminology dictionary provision.

SpeechEMR offers optimized adaptive training through AI speech recognition technology, medical-specific acoustic or language models, and a terminology dictionary. SpeechEMR's language correction feature uses 500,000 general words and 100,000 words from medical terminology.

"DOUB has been growing at a pace of more than 30 percent annually after it attracted seed investment in 2019, targeting the corporate market," said its founder, Son Hyeon-kon, in a statement. "We are now preparing to invest in Series A to expand our business, and through this, we will enter the B2C market so that anyone can use real-time text analysis technology to lead the popularization of AI services."

The first customer of DOUB's medical conversation analysis solution is Hanyang University Hospital in South Korea.

DOUB is also developing a real-time conversation analysis platform that integrates its natural language processing capabilities. The service will allow small businesses to use text and conversational analysis, conference records, virtual secretaries, call summaries, counseling robots, counseling notes, and marketing analysis, through a cloud deployment model.

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