The application of AI to the transcription of telephone calls
About
40 years ago, when the task of getting machines to transcribe human speech was first investigated, even the largest mainframe computers had a fraction of the power of a smart phone of today. As a result, techniques for Automatic Speech Recognition (ASR) were developed that did not rely on massive computing power. Now that computing power is cheap and fast, computers are actually better at recognising human speech than humans. However, what computers are not so good at is understanding speech. This is because humans unconsciously apply context which is not available to a computer and so some of the techniques developed in the early days of ASR have again become relevant.
Good as the Cloud-based ASR services are for searching phone calls for keywords, they fall short of the requirements for full operational call transcription. However, by applying AI and some of the techniques developed at NPL, it is possible to add context to ASR thus transforming speech recognition into speech understanding.
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Continuing Professional Development
This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.
30 May 2025
2:00pm - 3:30pm
Reasons to attend
To learn more about AI and speech.
Programme
Optional Lunch
12:00 to 13:45
These lectures are preceded by an optional lunch where there is an opportunity to network with colleagues. The cost is £25 and reservations can be made up to 11pm on the Monday prior to the event (subject to availability).
Lecture
14:00 – the lecture starts promptly at 14:00
14:45 approximately – questions and discussion
15:30 Optional tea/coffee in the Faraday Centre.
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