Nuance (News - Alert) Communications, a provider of speech solutions, has introduced Nuance Voicemail to Text, a voicemail transcription service that delivers high-quality readable messages to mobile devices. The service leverages Nuance’s speech recognition and transcription workflow solutions to convert voicemails left on any voicemail box into text.

 

Nuance Voicemail to Text allows users to read voicemail messages rather than simply listen to them, introducing the opportunity to the ability to access and organize voicemails in new and exciting ways. Because the messages are transcribed, users don’t have to worry about writing down or losing information while driving or on-the-go. Messages can be saved, edited, forwarded, indexed in an archive and retrieved anytime, anywhere.

 

“Converting voicemail to text is a powerful and simple concept. But implementing a highly scalable semi-automated service is far more complex and requires highly accurate speech recognition – technology that takes decades to develop,” said Steve Chambers, president, mobile and consumer services division, Nuance. “The Nuance Voicemail to Text Service integrates speech technology with over 3,000 Nuance transcriptionists, hosted in a Nuance-owned facility, with proven security, scalability, and reliability.”

The new service is based on Nuance’s Dragon Naturally Speaking speech recognition technology. Dragon NaturallySpeaking, a speech recognition engine for dictation and transcription, enables Nuance to deliver a complete and accurate solution for turning speech into text.

 

The system can be integrated with any standard voicemail system, so callers can simply leave a message on a voicemail system that’s Nuance-enabled, and the message is transcribed to text and sent back to the voicemail platform.

 

Nuance’s combination of continuous speech engine and Nuance’s human transcriptionist services are expected to deliver extremely accurate results. The system learns each caller’s voice over time delivering improved accuracy and automation rates with use. It also comes with profile adaptation that offers a clear path to automation with reduced dependency on human transcriptionists.