Over the last couple of years at GreenKey, I’ve been part of the team building Scribe, a deep-learning AI for nuanced industries. Dubbed the “Alexa for Wall Street” by Forbes, we’re now expanding Scribe’s focus to emergency services, like police and fire departments, and emergency medical technicians.
Scribe allows brokers, traders, analysts, and others at financial institutions to transcribe their telephone conversations in real-time and extract important data like quotes and trades with high accuracy. Speech recognition helps financial firms save time, and therefore, save money.
But that’s the tip of the iceberg when it comes to Scribe’s capabilities. There are several parallels that make Scribe work well for finance and public safety:
- Both environments are noisy.
- Both have their own “tribal lexicon” of acronyms and keywords.
- The majority of conversations happen over a telephone – a stream of audio that devices like Alexa can’t access.
Have a listen to the two samples below to see what we mean:
Thank you. VIN number 16646. 16646. 13 Hastings all the way down all blackout. I’ve got no city street lights. Alright 10-4 give me one moment let me take a look.
We’re taking on a risk in this one. We need to buy the UK one and sell him the Aussie with the currency, there’s a currency, there’s a currency risk, there’s a currency involved in it there’s a spread on it as well. The currency we opened yesterday was trading at 16% the DOC was trading at 16%. Right, Jase.
We built GreenKey Scribe specifically to address these issues – transcribing audio directly from telephone voice streams in noisy environments, and enabling firms to teach it the way they speak with ease. Financial traders are constantly listening to complex financial quotes coming off of a turret phone on a noisy trading floor. Police audio faces the same issues of noisy environments over low-quality telephony networks with specific, critical pieces of information (license plates, addresses, police codes).
Focusing on emergency services plays to our team’s strengths, but also comes with challenges. The tight security and compliance protocols for personal identification that we’ve navigated in the financial industry helps us when talking to first responder departments who have the same concerns. However, the level of standards that the financial industry has in their language does not extend to emergency services, where police departments can often have varying definitions for the same police codes. The potential for impact in a life-critical industry like emergency services industry is a reason many of us joined GreenKey, and that motivation has helped us navigate many of these challenges.
The financial industry is embracing Scribe with open arms. Now we’re bringing the same solution to leaders in the emergency service industry by bringing Scribe to police and first responders around the nation. GreenKey helps them react faster to situations by transcribing important information onto the screen in real-time.
Financial professionals have already saved more money using Scribe, and now first responders may be able to save more lives.
Wishing you a cheerful holiday season and a Happy New Year from the entire team at GreenKey.
Speech recognition engines obtain the best accuracy by listening to thousands of hours of recorded audio.
With a new year ahead, the GK team predicts what will happen in the voice space in 2019.