This article explores the technology landscape which can be used to build similar platform / service offerings like Liv.ai.
First and foremost, congratulations to Liv.ai team for leveraging existing cloud-based AI and speech recognition (Speech-to-text conversion) technologies to come up with a set of business offerings which leverages speech-to-text conversion technology to create great value for businesses. The founding team (IIT KGP Alumni – Subodh Kumar, Sanjeev Kumar and Kishore Mundra) nailed it! Doing right thing at right time at right place.
Liv.ai enables developers to convert speech-to-text by using Powerful Neural Network Models with exceptional accuracy and minimal latency. At this point, the platform supports 9 languages including Hindi, English, Bengali, Gujarati, Telugu, Tamil, Marathi, Punjabi and Kannada.
The following is the list of areas where Liv.ai technologies look to be focusing on:
The following lists down some of the business use case in relation to speech-to-text conversion technology:
The following are some of the key building blocks of a platform like liv.ai leveraging speech-to-text conversion technology:
All of the above can be achieved using following:
When considering Indian languages or rather, languages spoken in India, Google Cloud Speech API supports speech to text conversion for following Indian languages (as supported by Liv.ai):
The following are some of the salient features of Google Cloud Speech API:
And, all of the above comes at a very decent pricing from Google:
Monthly Usage | Price per 15 seconds |
---|---|
0-60 minutes | Free |
61-1,000,000 minutes | $0.006 |
One can also try other cloud speech APIs such as following:
In case, you wanted to share your thoughts in relation with using Google or other cloud speech APIs to build speech-to-text conversion platforms such as liv.ai, please feel free to suggest.
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