#amazontranscribe

[thelegalcasemanagement-blog]

What’s The Current Demand For AI-Powered Transcription Software Solutions?

The world is full of data. And 90% of the world’s total data was created in the last 2 years.

Let this sink in for a moment: In the past 2 years, we’ve created more data than our human civilization produced since we started writing.

A lot of this data is multimedia files. Whether it is a simple customer call, recording of a meeting, judicial hearing, etc. organizations generate enormous amounts of multimedia files.

Of course, large organizations need to somehow extract value from this stored multimedia content.

1. AMAZON TRANSCRIBE

Amazon offers a transcription service called Amazon Transcribe and offers an API connection, enabling integration with third-party services.

Their transcribe service is an Automatic Speech Recognition (ASR) service which enables the easy speech-to-text capability to AWS applications. It can be used for lots of common applications, including transcription and generation of subtitles on multimedia content.

The AWS and Amazon Transcribe platform make speech-to-text conversion very simple. Just store the multimedia content you want to convert into text on an Amazon S3 server, and you can pull the extracted text via an API connection.

The process is very simple, the only thing to worry about is to make sure to:

·         Use proper URL when uploading the file, and

·         Specify the format and the language of the input.

In return, the platform will provide a URI to get the results.

The results are saved in the S3 bucket and are identified by this user-specific URI you use to get your results.

SO, WHICH IS BEST?

With so much multimedia that large organizations produce, it’s difficult for traditional, human-powered transcription services to keep up.

This is why companies like Amazon, Google, IBM have come up with their AI-powered transcription software. Some, like Nuance, went a step further and offer end-user oriented transcription packs.

The “Which Is Best” question is hard to answer. And, I don’t think there’s one answer that will suit everybody.

Which AI-powered transcription software solution is best for you, will mostly depend on your needs.

So to answer this question, you’ll want to start with your technical requirements. Then, your interest in using high-code or low-code solutions, and, most importantly, budget restraints.

This is a complex issue, and I’ll be covering the market of AI-powered transcription software in more detail. So, make sure you follow us on Facebook, Twitter, and LinkedIn to get notified when a more in-depth coverage hits the web.

In the meantime, please take a moment to let me know if you have any comments, questions or ideas on the topic.

[thelegalcasemanagement-blog]

IMPROVE LEGAL CASE MANAGEMENT USING AI FOR MULTIMEDIA TRANSCRIPTION

This is an excerpt taken from Armedia.com

I have talked about Armedia’s Legal Case Management Module so many times now, and every time I finish writing a blog post, I feel like I have left something out. Going through my recent blog posts, I’ve realized that I haven’t spent much time explaining the Artificial Intelligence (AI) component in our Legal Case Management Module.

Moving away from the Hollywood image for AI as rebel robots with human-like appearance, AI, in fact, is an excellent Case Management assistant to any Legal Department.

Why? Because, multimedia transcription.

Let me explain.

Imagine a legal case. A courtroom, witness interviews, cross-examinations, police testimonials. Everything gets recorded. Everything gets typed in by the stenographer. Everything except people’s emotions when they say something that can be crucial for the case.

Now, imagine the legal workers going through stenography recordings to find specific keywords. Tedious, at best.

Now imagine how much better it would be if you could just take the video recordings of all the hearings and simply, extract the text, make it searchable, and make it clickable… so you can find every single mention of a word and jump to the exact spot in the exact video file where this word is mentioned.

This is why Amazon Transcribe is so widely used. For us in the US, it’s perhaps the best place to go for multimedia transcription.

[thelegalcasemanagement-blog]

IMPROVING EFFICIENCY WITH AI-POWERED VIDEO TRANSCRIPTION

This is an excerpt taken from Armedia.com 

Other than setting up the paperwork for the case, officers are hard-pressed to be detailed in building the case using evidence.

Most of the times recorded interviews, court recordings of witness statements are key evidence in closing a case.

In complex cases, it’s hard to keep in mind all of the interviews, all of the nuances, all of the mentions of key words and phrases. This is why video transcriptions are so crucial for legal workers.

Thanks to strong progress in Artificial Intelligence systems like AWS, accurate video transcription services is no longer a tall order.

The screenshot above is a preview of the ArkCase interface for video transcription. A law enforcement officer needs to upload the video file, and AWS takes over. Thanks to massive hardware infrastructure, processing each video and extracting the speech into text happens very quickly. Within minutes, entire videos can be transcribed, with timestamps and an easy-to-use interface for fixing the text to get 100% accuracy.

Once the transcribed video is checked for transcription accuracy, the entire text is stored as part of the case. This text is indexed and searchable.

Law enforcement officers can search entire batches of videos on a given keyword. The system returns the list of mentions of that keyphrase, with a timestamp, so people can just click the link and see the video at the exact time when the searched phrase is mentioned in the video.

This simple, yet extremely helpful AI integration makes legal case management a lot easier, and a lot more effective.

It would be interesting to see how much time gets saved on paperwork if only all of the law enforcement agencies switch to such a modern legal case management platform.