How to improve accuracy of speaker diarization?

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What steps can I take to improve AWS Transcribe's Speaker Diarization accuracy?

Unfortunately the algorithm is not doing a great job of correctly identifying who is talking, even with a clean audio recording. Its even having trouble distinguishing between a man and a woman's voice.

Much appreciated!

boogie
gefragt vor 2 Jahren534 Aufrufe
1 Antwort
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Other than a clean audio recording, I'd optimize the following factors:

  • When using custom vocabularies: keep the list small, and provide IPA pronunciations if you can.
  • When using real-time streams: two to five speakers seem best.
  • When using an audio source: set the "Maximum number of speaker" to the actual number of speakers in the file.

For sources and more information:
https://aws.amazon.com/transcribe/faqs/
https://docs.aws.amazon.com/transcribe/latest/dg/diarization.html

beantwortet vor 2 Jahren

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