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Latest news, releases and tips from transcription industry leaders

What’s the Difference Between Machine Learning and AI Model Training?

All too often, the terms Artificial Intelligence (AI) and Machine Learning (ML) are used interchangeably. This improper use of the terminology can contribute to a significant amount of confusion around an already complex field of computer science. As such, there is a greater risk of propagating mistruths about what either terms refer to; particularly when they are being explained to…

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Hybrid Tech for Enterprise: Speech Technology & Transcriptionists

Large businesses and commercial enterprise companies worldwide can benefit largely from speech recognition technologies. In the past several years, both the quality and accuracy of voice technology has become more widely adopted as forward-thinking companies, and their call centers, see its value in helping drive intelligent business decisions. TranscribeMe provides industry-leading Enterprise Speech Recognition (ESR) and data mining technology solutions….

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In the Press – TranscribeMe Honored in the Top 20 on the Deloitte Technology Fast 500 Asia Pacific 2015

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Great news! TranscribeMe has been selected as one of the top 20 fastest growing technology companies in the Asia Pacific region. Being recognized for our sustained growth as a company and technological progress is truly an honor. View the official press release below, via PRWeb. TranscribeMe Honored in the Top 20 on the Deloitte Technology Fast 500 Asia Pacific 2015 With…

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Automated Speech Recognition: The Power of the Voice of Your Customer

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There has always been a need for humans to be understood by technology. Even more fundamental than the desire for AI machines, however, is the goal to use the interaction between humans and computers through access to knowledge to result in a prosperous learning experience for both. What is Automated Speech Recognition? At it’s most basic level, ASR is powerful…

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The Basics of Transcription Service

From time to time it pays to step back and look at the fundamentals of what you do and why. For transcription service providers, the answers for what and why may be complex and that is especially true if the transcription services cross professional fields, and it’s compounded again if transcribers are crowd sourced. Nonetheless, the self-review process is an important one for those who provide transcription services.

Obviously, transcription services cater for those who require conversion of voice data to text data – that is transcription service at its most elementary level. The reasons to engage a transcription service are many and most commonly are for archival purposes, sharing, storage and publication. As such, the numbers of professionals who use transcription services are many and varied but not limited to those looking for the above solutions alone. For individuals who must regularly address an audience the imperative of a transcription service is even greater and indeed, quite different.