Are you making the most of speech recognition?
Did you know that talking is up to seven times faster than typing? Leveraging this fact, speech recognition technology has advanced significantly in recent years, enabling it to be used as a standalone solution in various applications and industries. Real-time speech-to-text turns your voice into text as you speak and can be used to dictate text directly into an email, word document, document management system, or CRM. You can also use your phone to record and get the audio recordings transcribed into text instantly using speech recognition.
In the professional world, there are two primary approaches to speech recognition:
- Authors use a microphone and work with live speech recognition on their PC to generate an initial document draft, which can then be forwarded for corrections and further processing by an assistant.
- Authors dictate on their app or a voice recorder and upload the file to the cloud, which is picked up and transcribed by an assistant who also has the option to use speech recognition to support the traditional manual transcription process.
Voice commands play an important role during dictation to structure the speech-recognized text. They help to insert paragraphs, punctuation, and symbols, contributing to swift and accurate voice-to-text conversion. However, when working with standalone speech recognition there is no voice recording stored once the text has been speech-recognized. Assistants who might further process and correct documents are unable to go back to original recordings to check what was said while proofreading. For effective teamwork the importance of a robust dictation platform becomes obvious.
Speech recognition & workflow
Integrating speech recognition with a cloud dictation workflow platform allows teams to capitalize on the speech recognition solution with many more benefits. Many tasks in an organization involve more than one team member and are often executed in a specific order to complete business processes. Integrating speech recognition with workflow enhances operational capabilities beyond what a standalone system can achieve. Importantly, it accommodates the increasing prevalence of hybrid and remote work setups, along with the demand for creating, revising, and validating documents on the go.
Authors either record audio files using their mobile devices or portable voice recorders for subsequent transcription. With speech recognition, the transcription process can be supported by automatically recognizing the audio file to create a first text draft. This is referred to as back-end speech recognition. Authors can also automatically generate text using front-end speech recognition, meaning text will appear on their PC screen or device as they speak.
The importance of the workflow element becomes apparent for the following use cases:
- Establish multi-step workflows to automatically direct tasks to the most suitable staff members.
- Assign priorities to identify urgent recordings and expedite their transcription.
- Specify deadlines for the completion of specific tasks.
- Provide a transparent audit trail documenting changes from inception to final release.
- Generate reports to monitor document turnaround times.
Workflow capabilities allow insights into the overall document production cycle, highlighting any potential issues or delays, particularly for urgent documents.
Integrating speech recognition with workflow software enables businesses to add automation to the document creation cycle leading to significantly reduced document turnaround times. Not only can authors save time in drafting the original document, but they can also manage the entire document workflow via mobile devices. These advancements contribute to more responsive customer service and allow team members to allocate their time toward other customer-centric activities.
Learn more about Philips Speechlive and it’s speech recognition capabilities here https://www.speechlive.com/us/speech-recognition
Questions? Leave us a comment and we’re happy to help!