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WHY A TRANSCRIPTION HUB ENTERPRISE IS NEEDED IN 2017

by superuser on May 16, 2018

Modern technology has become an embedded aspect of our lives over the past 100 years and its almost impossible to imagine a world without it. The influx of technologies such as the internet, mobile phones, and apps has created a culture where almost everything is a lot more accessible and easier to utilize.

Having said this, It’s almost crazy to think that in 2017 transcription tools are still only being used by a minority of people. Whilst a lot of people still prefer the good old fashioned ways of recording audios such as interviews and manually transcribing them themselves, this could take out a big chunk of your time. Other methods also include the use of expensive transcription services such as third party specialized transcribers or the use of speech to text AI developer tools from Google and IBM. Creating clearly structured, well tailored talks and writing down each word is also another way of producing transcribed content – but again, this is hardly the most time efficient method.

Well fear not! Verbit is a company that provides a innovative, time efficient yet effective service. Simply record your audio or video, upload it on the database or submit through API, allow a few minutes for the process to complete and it will finally provide you with a rough draft of your transcription in its online text editor. Sound cool yet? Well here’s exactly how it works; once your audio has gone through the Automated Speech Recognition Technology it is divided into two stages – editors and reviewers (Transcribers must pass the 6% success rate before being accepted). Professional transcripts have at least a 99% accuracy.

However, depending on the quality of your recordings (this can be due to your microphone and speaker quality), you may need to fix any present errors in the online editor. Once all this has been done and dusted, the text can then be used and exported as a full transcript or as captions to use as part of your video content.

This process is known as the 3 layer process, upload – edit – check, it creates greater accuracy on the Verbit platform when compared to the current standard benchmark in the market. With no limitations video length for example, longer files can be treated like short videos due to our algorithm. This is highly time effective as it enables videos to be split into fragments whilst ensuring the same terminology and speaker names are kept throughout the whole content.

Transcription is a process which can be used by anyone who seeks to provide accurate audio to text content. This can vary from journalists to bloggers, or from educators, lawyers to doctors. Verbit provides 3 aspects that are disrupting the market which consist of pricing, accuracy, and turnaround times.

Having an enterprise like Verbit dedicated to transcribing is a great way of making a process which can be deemed as tedious and of course time consuming more cost effective, speedy and accurate.

But what makes us different? Well, one thing we offer is the ability for our customer’s content teams to manage their content via various platforms by modifying and monitoring content as it is being transcribed.

There has been a long negative stigma on manual speech-to-text transcription. Although companies such as Microsoft and Google provide services for snippets of audio to text content, they are firm in their belief in the accuracy of their services.

The scale of transcription is of high accuracy and provides speedy results when transcribing online videos with time consumption primarily coming from the punctuation corrects – due to audio quality.

Creating a platform which connects audio to computer devices is something that companies such as Microsoft have done in order to create a smooth sailing transcribing process.

Microsoft CEO Satya Nadella has previously stated that, “ artificial intelligence is the future of the company, and conversation would be its cornerstone.”

The only difference here is picking up certain nuances and sound effects present in conversations such as “uh”, however such cues are often noted as hesitations or affirmations maintaining the accuracy of the text.

So what’s Verbit's answer to such issues? By providing technology trained to pick up differences accents and nuances and as mentioned, using algorithms to split videos and make audio text more detectable, this results in a highly more accurate speech-to-text technology for all customers.

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