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TOGETHER WITH ASSEMBLYAI

Speech-to-text at unmatched accuracy with AssemblyAI

AssemblyAI has made it much easier to distinguish speakers and determine what they spoke in a conversation, resulting in:

  • 13% more accurate transcript than previous versions.
  • 85.4% reduction in speaker count errors.
  • 5 new languages (total 16 supported languages).

A demo is shown below:

  • Import the package, set the API key, and transcribe the file while setting speaker_labels parameter to True:
  • Next, print the speaker labels:

AssemblyAI’s speech-to-text models rank top across all major industry benchmarks. You can transcribe 1 hour of audio in ~35 seconds at an industry-leading accuracy of 92.5% (for English).

Sign up today and get $50 in free credits!

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Advertise | Industry-ML guides TOGETHER WITH ASSEMBLYAI Speech-to-text at unmatched accuracy with AssemblyAI AssemblyAI has made it much easier to distinguish speakers and determine what they spoke in a conversation, resulting in: 13% more accurate transcript than previous versions. 85.4% reduction in speaker count errors. 5 new languages (total 16 supported languages). A demo is shown below. First, import the package, set the API key, and transcribe the file while setting speaker_labels...