Transcription Technologies Provide Improved Documentation of Meetings
Machine transcription of multiple languages, dialects and accents has made remarkable strides during the last few years, capped by Microsoft’s announcement late last year that its technology can transcribe text better than a human can, as reported by Business Insider.
These recent advances have helped make documenting accurate meeting minutes and providing context extremely simple, efficient, and comprehensive. Such tasks are important, given that the effectiveness of internal meetings is paramount to every organization’s success, and manually keeping a record of discussions, follow up action items, and agreed upon policies is often an imperfect administrative chore.
The process of manual documentation requires a fair amount of time, and is also vulnerable to subjective interpretation of the discussion and next steps. Furthermore, meeting minutes often are stored locally in a decentralized fashion making such notes inaccessible for the rest of the organization.
Voice signal processing and acoustic technologies eliminate the errors in transcription, making them viable for use in capturing meeting minutes. Identifying speakers using advances in speaker diarization technology and natural language processing help capture the essential context of a meeting, yielding more accurate meeting minutes and saving significant effort and time.
Companies can capture and store the source audio file from conference-call systems or local microphones, and associate the resulting full transcript in a software platform that enables textual search, similar to the process that most public companies use for earnings calls and investor presentations.
The effectiveness of meeting documentation can be significantly improved using technologies like transcription, speaker separation and natural language processing and should be adopted by any organization seeking to improve on internal record-keeping and communication.
Pratik Dhebri is senior director of product management at Veritone and is truly democratizing Artificial Intelligence (AI) by orchestrating best-of-breed cognitive engines. He works with AI developers and cognitive engine providers to architect and monetize algorithms and applications. Learn more about our platform and join the Veritone developer ecosystem today.