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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

New PII Classes

We have released an update to our PII Redaction Model that will now support detecting and redacting additional classes!

  • blood_type
  • medical_condition
  • drug (including vitamins/minerals)
  • injury
  • medical_process

Entity Definitions:

  • blood_type: Blood type
  • medical_condition: A medical condition. Includes diseases, syndromes, deficits, disorders. E.g., chronic fatigue syndrome, arrhythmia, depression.
  • drug: Medical drug, including vitamins and minerals. E.g., Advil, Acetaminophen, Panadol
  • injury: Human injury, e.g., I broke my arm, I have a sprained wrist. Includes mutations, miscarriages, and dislocations.
  • medical_process: Medical process, including treatments, procedures, and tests. E.g., "heart surgery," "CT scan."

1

New PII Classes

We have released an update to our PII Redaction Model that will now support detecting and redacting additional classes!

  • blood_type
  • medical_condition
  • drug (including vitamins/minerals)
  • injury
  • medical_process

Entity Definitions:

  • blood_type: Blood type
  • medical_condition: A medical condition. Includes diseases, syndromes, deficits, disorders. E.g., chronic fatigue syndrome, arrhythmia, depression.
  • drug: Medical drug, including vitamins and minerals. E.g., Advil, Acetaminophen, Panadol
  • injury: Human injury, e.g., I broke my arm, I have a sprained wrist. Includes mutations, miscarriages, and dislocations.
  • medical_process: Medical process, including treatments, procedures, and tests. E.g., "heart surgery," "CT scan."

1

General Improvements

  • We have made a major update to our Speaker Diarization Model that will improve results both in speed and accuracy. This update introduces the UNK speaker label for when a speaker for a word/phrase is unknown. This label is in place to prevent combining the unknown speaker with the dominant speaker, giving the developer more insight into who may or may not be speaking!

Our Content Safety Model has been trained on higher-quality data and now supports the following new labels:

  • Company Financials: can detect when things like stock prices or revenue are discussed.
  • Natural Disasters: in the past, we used the label Accidents to cover natural disasters and man-made accidents like plane crashes. Now Natural Disasters covers things like hurricanes, and Accidents covers Man-Made Accidents like plane crashes.

1

General Improvements

  • We have made a major update to our Speaker Diarization Model that will improve results both in speed and accuracy. This update introduces the UNK speaker label for when a speaker for a word/phrase is unknown. This label is in place to prevent combining the unknown speaker with the dominant speaker, giving the developer more insight into who may or may not be speaking!

Our Content Safety Model has been trained on higher-quality data and now supports the following new labels:

  • Company Financials: can detect when things like stock prices or revenue are discussed.
  • Natural Disasters: in the past, we used the label Accidents to cover natural disasters and man-made accidents like plane crashes. Now Natural Disasters covers things like hurricanes, and Accidents covers Man-Made Accidents like plane crashes.