NeMo
PyTorch
English
speaker-recognition
speech
audio
speaker-verification
titanet
speaker-diarization
NeMo
Eval Results (legacy)
Instructions to use franjamonga/speakerverification_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use franjamonga/speakerverification_en with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Commit ·
ac525cc
1
Parent(s): 79d6df1
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README.md
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- name: speakerverification_en
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results:
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- task:
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dataset:
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name:
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type:
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config:
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split: test
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args:
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language: en
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metrics:
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---
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- name: speakerverification_en
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results:
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- task:
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name: Speaker Verification
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type: speaker-verification
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dataset:
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name: voxceleb1
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type: voxceleb1-O
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config: clean
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split: test
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args:
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language: en
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metrics:
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- name: Test EER
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type: eer
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value: 0.66
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- task:
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type: Speaker Diarization
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name: speaker-diarization
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dataset:
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name: ami-mixheadset
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type: ami_diarization
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config: oracle-vad-known-number-of-speakers
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split: test
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args:
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language: en
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metrics:
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- name: Test DER
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type: der
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value: 1.73
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- task:
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type: Speaker Diarization
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name: speaker-diarization
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dataset:
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name: ami-lapel
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type: ami_diarization
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config: oracle-vad-known-number-of-speakers
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split: test
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args:
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language: en
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metrics:
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- name: Test DER
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type: der
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value: 2.03
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- task:
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type: Speaker Diarization
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name: speaker-diarization
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dataset:
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name: ch109
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type: callhome_diarization
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config: oracle-vad-known-number-of-speakers
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split: test
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args:
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language: en
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metrics:
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- name: Test DER
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type: der
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value: 1.19
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- task:
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type: Speaker Diarization
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name: speaker-diarization
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dataset:
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name: nist-sre-2000
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type: nist-sre_diarization
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config: oracle-vad-known-number-of-speakers
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split: test
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args:
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language: en
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metrics:
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- name: Test DER
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type: der
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value: 6.73
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---
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