Check out the AssemblyAI changelog to see weekly accuracy and product improvements our team has been working on.
Powering incredible companies
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We've released our new Conformer-1 model for speech recognition. Conformer-1 was trained on 650K hours of audio data and is our most accurate model to date.
Conformer-1 is now the default model for all English audio files sent to the /v2/transcript endpoint for async processing.
We'll be releasing it for real-time English transcriptions within the next two weeks, and will add support for more languages soon.
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Our Content Safety and Topic Detection models are now available for use with Italian audio files.
We’ve made improvements to our Japanese punctuation model, increasing relative accuracy by 11%. These changes are effective immediately for all Japanese audio files submitted to AssemblyAI.
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We’ve made improvements to our Hindi punctuation model, increasing relative accuracy by 26%. These changes are effective immediately for all Hindi audio files submitted to AssemblyAI.
We’ve tuned our production infrastructure to reduce latency and improve overall consistency when using the Topic Detection and Content Moderation models.
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We’ve released a new version of our PII Redaction model to improve PII detection accuracy, especially for credit card and phone number edge cases. Improvements are effective immediately for all API calls that include PII redaction.
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We’ve released a new version of our Automatic Language Detection model that better targets speech-dense parts of audio files, yielding improved accuracy. Additionally, support for dual-channel and low-volume files has been improved. All changes are effective immediately.
Our Core Transcription API has been migrated from EC2 to ECS in order to ensure scalable, reliable service and preemptively protect against service interruptions.