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README.md
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@@ -5,10 +5,11 @@ language:
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- shi
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- rif
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- tzm
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license: cc-by-4.0
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library_name: nemo
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datasets:
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- mozilla-foundation/
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thumbnail: null
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tags:
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- automatic-speech-recognition
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice
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type: mozilla-foundation/
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config: zgh
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split: test
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args:
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metrics:
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- name: Test WER
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type: wer
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value:
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice
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type: mozilla-foundation/
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config: zgh
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split: test
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args:
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metrics:
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- name: Test CER
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type: cer
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value:
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice
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type: mozilla-foundation/
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config: kab
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split: test
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args:
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metrics:
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- name: Test WER
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type: wer
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-
value:
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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-
name: Mozilla Common Voice
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-
type: mozilla-foundation/
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config: kab
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split: test
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args:
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metrics:
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- name: Test CER
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type: cer
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-
value:
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metrics:
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- wer
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- cer
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@@ -135,11 +136,11 @@ This model provides transcribed speech as a string for a given audio sample.
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## Training
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The model was
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### Datasets
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Common Voice
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## Performance
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- shi
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- rif
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- tzm
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- shy
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license: cc-by-4.0
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library_name: nemo
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datasets:
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- mozilla-foundation/common_voice_18_0
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thumbnail: null
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tags:
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- automatic-speech-recognition
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 18.0
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type: mozilla-foundation/common_voice_18_0
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config: zgh
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split: test
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args:
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metrics:
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- name: Test WER
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type: wer
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value: 64.17
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 18.0
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type: mozilla-foundation/common_voice_18_0
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config: zgh
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split: test
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args:
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metrics:
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- name: Test CER
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type: cer
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value: 21.54
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 18.0
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type: mozilla-foundation/common_voice_18_0
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config: kab
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split: test
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args:
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metrics:
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- name: Test WER
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type: wer
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value: 34.87
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 18.0
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type: mozilla-foundation/common_voice_18_0
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config: kab
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split: test
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args:
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metrics:
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- name: Test CER
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type: cer
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value: 13.11
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metrics:
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- wer
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- cer
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## Training
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The model was fine-tuned from an older checkpoint on a NVIDIA GeForce RTX 4050 Laptop GPU.
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### Datasets
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Common Voice 18 *kab* and *zgh* splits, Tatoeba (kab, ber, shy), and bible readings in Tachelhit and Tarifit.
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## Performance
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