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README.md
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- openslr/librispeech_asr
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metrics:
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- wer
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model-index:
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- name: SpeechLLM
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results:
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language: en
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metrics:
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- type: wer
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value:
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: wer
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value:
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: wer
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value:
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name: Test WER
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---
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# SpeechLLM
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- openslr/librispeech_asr
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metrics:
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- wer
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- accuracy
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model-index:
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- name: SpeechLLM
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results:
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language: en
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metrics:
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- type: wer
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value: 7.3
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: wer
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value: 10.47
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name: Test WER
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- task:
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type: automatic-speech-recognition
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language: en
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metrics:
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- type: wer
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value: 24.47
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name: Test WER
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- task:
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type: audio-classification
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name: Audio Classification
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dataset:
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name: Common Voice 16.1
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type: common_voice_16_1
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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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- type: accuracy
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value: 60.61
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name: Test Age Accuracy
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- task:
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type: audio-classification
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name: Audio Classification
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dataset:
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name: Common Voice 16.1
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type: common_voice_16_1
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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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- type: accuracy
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value: 61.56
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name: Test Accent Accuracy
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---
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# SpeechLLM
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