April 26, 2012
Philips Speech Processing Updates SpeechExec Enterprise
By Anuradha Shukla
TMCnet Contributor
Philips (News - Alert) Speech Processing has announced the latest version of the SpeechExec Enterprise software suite.
The company has included the SpeechExec Speech Recognition Workflow Extension in the SpeechExec Enterprise software suite that ensures businesses can integrate speech recognition technology in a variety of environments.
Users can easily automate document flow thanks to the speech recognition workflow extension that enables the dictations to be automatically downloaded and sent to the speech recognition software for transcription.
Philips Speech Processing specializes in delivering professional digital and analogue dictation solutions. The company notes that the new version of the solution facilitates businesses to integrate speech recognition technology in a range of environments to promote efficiency in the transcription process.
Efficiency in the transcription process results in reduced turn time of documents and thus delivers time and cost savings to users.
In a nut shell- the new solution will enable users to automatically send recordings to their speech recognition software which transfers the recording to a text document or fills-in a predefined template before it is sent to an assistant for correction.
“We know that today’s business professionals are extremely busy and always on the go, so we developed the Workflow Extension to help them more easily integrate speech recognition into their daily life,” said Thomas Brauner, category leader at Philips Speech Processing.
Philips Speech Processing adds that its new release will also be able to automatically upload dictations to speech recognition programs; selectively auto-rout from Digital Pocket Memo to speech recognition; and has the ability to adapt to user preferences.
Philips Speech Processing was in news earlier this year for announcing that its SpeechExec dictation workflow solution now fully supports Nuance's (News - Alert) Dragon Medical voice recognition.
Edited by Juliana Kenny