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ami-corpus-mirror

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Size:
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Tags:
audio
speaker-diarization
benchmark
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The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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AMI Corpus Mirror

Mirror of the subset of the AMI Meeting Corpus used by FluidAudio diarization benchmarks. Hosted here so CI and local benchmark runs do not depend on the availability of the upstream groups.inf.ed.ac.uk server (see FluidAudio#752).

Contents

  • annotations/ami_public_manual_1.6.2.zip — AMI public manual annotations v1.6.2 (repackaged from the official archive; identical content, including segments/, words/, corpusResources/meetings.xml)
  • sdm/{meeting}.Mix-Headset.wav — audio for the official 16-meeting AMI-SDM evaluation split (EN2002, ES2004, IS1009, TS3003 × a–d), as fetched from the upstream AMI corpus mirror

License & attribution

The AMI Meeting Corpus is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license by the AMI Consortium / University of Edinburgh. This repository redistributes it unchanged, with attribution, under the same license. See annotations LICENCE.txt inside the zip.

If you use this data, cite:

Jean Carletta et al., "The AMI Meeting Corpus: A Pre-announcement", MLMI 2005.

Usage in FluidAudio

swift run fluidaudiocli diarization-benchmark --auto-download fetches from this mirror first and falls back to the upstream Edinburgh server.
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