AIRA is a voice AI platform that records meetings and automatically transcribes them.
- This saves times spent taking minutes
- Opens your time so you can do other things that require your attention currently
- Makes it possible for you to go through notes later and action them
- The transcriptions are stored in one place so you can access, refer and analyze them easier
Generating precise meeting notes begins with joining the right meeting. The beauty of AIRA in accomplishing precision is in the simple approach on which the app’s workflow is based. The whole process, from app installation to meeting attendance, minute taking, and finally sending out emails, is designed to guide AIRA to give accurate results. For instance:
- Calendar auto-sync: Assuming it’s your first time to log into AIRA, it will sync with your calendar and show you all the details of every meeting you have on that day. If you have a meeting or meetings on any day, those meetings reflect within AIRA. This process happens automatically, hence eliminates errors.
- Auto join: Once you have turned the auto-join function on, Aira will autojoin each meeting at the appointed time. AIRA then attends meetings on your behalf if you can’t, takes meeting notes for you whether or not you are present for a meeting, and then ensures you get the notes from that meeting via mail.
- AIRA keeps both the recording and the transcript of the meeting for your reference, and all this information is saved in one place. In addition, keywords are generated to make it easier to refer to points of interest. This gives you multiple resources to refer to, should you want to fact check something that was said during the meeting.
With that said, to further understand how AIRA generates precise AI meeting notes, we have to dissect how AI apps work.
The machine learning process for ensuring voice AI accuracy for AI meeting notes
AIRA is an AI voice assistant app, meaning that it works by automatically recognizing speech.
AI voice apps are programmed through a machine learning process, whereby they are trained and tested on their ability to recognize phonemes (a unit of human speech measurement).
The training process usually involves using transcripts from earlier recorded speech to better gauge how well the AI links the spoken word and the transcribed text. This process guarantees highly accurate and precise transcriptions.
Some AI applications also use word decoding, whereby full words are used in the training process. However, Automatic speech recognition is the end goal of any voice AI, regardless of the software used.
The training process for AI voice apps follows these general steps:
- Audio is captured through a microphone
- The waveforms are then put through a 3-step acoustic analysis process, that involves:
- Acoustic modeling. This analyzes phonemes and the words formed when those phonemes are complete
- Pronunciation modeling. This analyzes pronunciations and other aspects such as accents that cause variabilities in speech
- Language modeling. This involves contextual analysis
- The data from the acoustic analysis is then decoded into text
This entire analysis is carried out by AI to eliminate errors. Furthermore, as machine learning involves repetitive training processes, any AI voice app that goes through this rigorous creation process guarantees more accurate voice recognition results.
We have already mentioned above that speech to text involves decoding the data from the acoustic analysis. This process as well, needs to be very accurate.
The thinking behind voice apps is speed, convenience and efficiency. But as you strive to bring these qualities to your business, the voice app company you choose to partner with is just as crucially important.
Minutes represent important discussions and decisions for your company. They are how you conduct business. If you cannot trust your AI meeting note-taking app to do a good job, this could cost you your business. A parting note from us, therefore, is that you sign up for a demo of AIRA and experience a whole new easy and efficient way to conduct meetings.