Automatic speech recognition (ASR) is routinely used to convert audio tracks into written words. There are several reasons why you might want to do this including generating subtitles for a movie or advanced dictation software. But here are some examples of other use cases that you might not already be aware of.
We often think of Automatic Speech Recognition (ASR) as a technology to save us getting up from our armchair to change the music or to save the banks from employing humans, but in fact, its benefits can have far more far-reaching effects – especially for the hard of hearing.
More and more people are using Automatic Speech Recognition (ASR). Some out of choice, but most because they are forced into it when they phone for help. The Banks and financial institutions who have adopted ASR wholesale, seem to have engendered the most bad feeling and are giving it a somewhat undeserved bad name. This opinion piece describes why this is likely to have happened.
In this era of social media, chatbots and email, written communications are the obvious choice for interacting with potential customers and suppliers. But next time you send an email instead of picking up the phone, take a moment to consider whether this really is the best option.
Automatic Speech Recognition (ASR) is one of those technologies you either love or hate. Sadly, a large number of businesses (mainly financial institutions) have decided it’s cheaper to get a computer to answer the telephone than to pay a human, and undoubtedly this generates the most hate.. Read more on why you shouldn’t wait for speech recognition to catch up.
If you are only logging your written communications with your customers then you are only seeing 50% of the meaningful communications your company is having with your customers and suppliers. This is because the telephone remains a key method of communication between businesses and the outside world and it’s the reason why we routinely log all our telephone conversations with our customers. Read on to discover why your business should be doing the same and how to do it.
It is difficult to imagine how many business users would be able to cope without being able to search their emails but once they start using Threads, they soon wonder how they ever coped without being able to search their phone calls. However, the costs of automatic speech recognition can rack up if all calls are being transcribed. In this post, we discuss the new “transcription on demand” feature of Threads which enables users to transcribe just the calls they want.
Call transcription is fast becoming a must-have tool for sales teams to enable them to close more sales and collaborate better. It allows sales reps to focus on the call in hand without being distracted by writing notes or worrying that key details will be forgotten. Here are 4 more ways in which call transcription can help your company boost sales.
One of the most useful but often overlooked features in CRMs is the ability to tag records to enable you to search, filter and sort your records. But tagging records can be a time consuming manual process meaning that records can go ‘untagged’ and consequently won’t appear when you search for a specific tag. Our new automatic call tagging feature in Threads solves this problem.
In this post we explain a little about business telephone systems and how Threads ingests phone calls so that they may be replayed and transcribed (using ASR) at will. A key feature of Threads call ingestion is that it happens transparently to the user and is totally independent of the telephone system in use. As a result, the Threads subscriber is not tied to one particular business telephone system manufacturer nor to require special software or plug-ins. We also discuss how calls may be ingested from landline and mobile networks.
Our aim for Threads Message Hub was always to be able to search any kind of digital message from anyone to anyone – not just emails but their attachments, texts (SMS), Skype calls, Tweets and most ambitiously, telephone conversations. Well, we’ve done it. We are pleased to report that have our first incarnations of Optical Character Recognition (OCR) and Automatic Speech Recognition (ASR) in beta test.
