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CHANGELOG

Product improvements

Check out the AssemblyAI changelog to see weekly accuracy and product improvements our team has been working on.

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1

Topic Detection Model v2 Released

Today we have released v2 of our Topic Detection Model. This new model will predict multiple topics for each paragraph of text, whereas v1 was limited to predicting a single. For example, given the text:

"Elon Musk just released a new Tesla that drives itself!"

v1:

  • Automotive>AutoType>DriverlessCars: 1

v2:

  • Automotive>AutoType>DriverlessCars: 1
  • PopCulture : 0.84
  • PopCulture>CelebrityStyle: 0.56

This improvement will result in the visual output looking significantly better, and containing more informative responses for developers!

1

Topic Detection Model v2 Released

Today we have released v2 of our Topic Detection Model. This new model will predict multiple topics for each paragraph of text, whereas v1 was limited to predicting a single. For example, given the text:

"Elon Musk just released a new Tesla that drives itself!"

v1:

  • Automotive>AutoType>DriverlessCars: 1

v2:

  • Automotive>AutoType>DriverlessCars: 1
  • PopCulture : 0.84
  • PopCulture>CelebrityStyle: 0.56

This improvement will result in the visual output looking significantly better, and containing more informative responses for developers!

1

Increased Number of Categories Returned for Topic Detection Summary

In this minor improvement, we have increased the number of topics the model can return in the summary key of the JSON response from 10 to 20.

1

Increased Number of Categories Returned for Topic Detection Summary

In this minor improvement, we have increased the number of topics the model can return in the summary key of the JSON response from 10 to 20.

1

Temporary Tokens for Real-Time

Often times, developers will need to expose their AssemblyAI API Key in their client applications when establishing connections with our real-time streaming transcription API. Now, developers can create a temporary API token that expires in a customizable amount of time (similar to an AWS S3 Temporary Authorization URL) that can safely be exposed in the client applications and front-ends.

This will allow developers to create short-lived API tokens designed to be used securely in the browser, along with authorization within the query string!

For example, authenticating in the query parameters with a temporary token would look like so:

wss://api.assemblyai.com/v2/realtime/ws?sample_rate=16000&token={TEMP_TOKEN}

For more information, you can view our Docs!