Today, we're happy to announce the release of our most accurate Speech Recognition model for asynchronous transcription to date—version 8 (v8).
This new model dramatically improves overall accuracy (up to 19% relative), and proper noun accuracy as well (up to 25% relative).
You can read more about our v8 model in our blog here.
Fixed an edge case where a small percentage of short (<60 seconds in length) dual-channel audio files, with the same audio on each channel, resulted in repeated words in the transcription.
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v2 Real-Time and v4 Topic Detection Models Released
This new model improves accuracy of our Real-Time Streaming Transcription by ~10%.
Launched our Topic Detection v4 model, with an accuracy boost of ~8.37% over v3 (read more on our blog).
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v3 Topic Detection Model, PII Redaction Bug Fixes
Released our v3 Topic Detection model.
This model dramatically improves the Topic Detection feature's ability to accurately detect topics based on context.
For example, in the following text, the model was able to accurately predict "Rugby" without the mention of the sport directly, due to the mention of "Ed Robinson" (a Rugby coach).
PII Redaction has been improved to better identify (and redact) phone numbers even when they are not explicitly referred to as a phone number.
Released a fix for PII Redaction that corrects an issue where the model would sometimes detect phone numbers as credit card numbers or social security numbers.
1
v3 Topic Detection Model, PII Redaction Bug Fixes
Released our v3 Topic Detection model.
This model dramatically improves the Topic Detection feature's ability to accurately detect topics based on context.
For example, in the following text, the model was able to accurately predict "Rugby" without the mention of the sport directly, due to the mention of "Ed Robinson" (a Rugby coach).
PII Redaction has been improved to better identify (and redact) phone numbers even when they are not explicitly referred to as a phone number.
Released a fix for PII Redaction that corrects an issue where the model would sometimes detect phone numbers as credit card numbers or social security numbers.
