Voice Recognition and Transcription into CRM

Voice Recognition and Transcription into CRM

We’ve added many cool new features into our CRM over the years, but this is one that we’re really excited about  –   Automatic transcription of voice notes.   It’s something we’ve been asked about and considered many times, and now we’re able to deliver it.

It’s as simple as it sounds.   Open up a note in CRM – start speaking, and CRM will automatically convert your text to speech.

Voice Capture

The note taking screen in Tall Emu Web CRM showing the voice transcription prompt and microphone icon which toggles voice capture on and off.

If you talk in a normal tone and pace, the automatic (and instant) transcription is really good quality.  Once you get over any phobia of talking to your mobile phone (!) you’ll find it much faster than thumbing in notes on your smartphone using the keyboard.

Here’s a quick video of it on our test system.   It’s not showing the realtime display of the text as it is spoken in this demo, but I couldn’t wait to get this post up and that will be fixed before release.

No automatic transcription is perfect.  Accents, background noise can sometimes confuse it – it’s being done by a machine and formulas after all.   So, to make sure that nothing is lost, we’re also recording and uploading the original audio file as an attachment.

When you are back in the office you can edit the notes to your heart’s content using the original audio as reference, or assign a task to a personal assistant or virtual assistant to do it for you.    If you need a professional, human quality transcription you can use services to get that too – our audio quality is good enough to send off to those services should you desire.

A normal speaking speed in conversational English is around 110-150 words per minute.   An average typing speed on a full size keyboard is 40 words per minute.  I’d hate to think what it is on a smartphone, but we expect that this new feature will be a great time saver.

For those with multi-cultural or transnational teams, the speech recognition is also available in other languages.  The company selects a default language for speech recognition – this can be overridden user by user.

For example, a demo of recognition in Chinese: