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  ---
 
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  datasets:
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- - mozilla-foundation/common_voice_17_0
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- - facebook/multilingual_librispeech
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- - facebook/voxpopuli
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- - datasets-CNRS/PFC
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- - datasets-CNRS/CFPP
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- - datasets-CNRS/CLAPI
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- - gigant/african_accented_french
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- - google/fleurs
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- - datasets-CNRS/lesvocaux
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- - datasets-CNRS/ACSYNT
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- - medkit/simsamu
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  language:
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- - fr
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  metrics:
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- - wer
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  base_model:
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- - nvidia/stt_fr_fastconformer_hybrid_large_pc
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  pipeline_tag: automatic-speech-recognition
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  tags:
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- - automatic-speech-recognition
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- - speech
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- - audio
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- - Transducer
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- - FastConformer
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- - CTC
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- - Transformer
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- - pytorch
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- - NeMo
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  library_name: nemo
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  model-index:
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- - name: linto_stt_fr_fastconformer_pc
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- results:
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- - task:
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- name: Automatic Speech Recognition
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- type: automatic-speech-recognition
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- dataset:
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- name: common-voice-18-0
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- type: mozilla-foundation/common_voice_18_0
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- config: fr
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- split: test
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- args:
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- language: fr
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- metrics:
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- - name: Test WER
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- type: wer
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- value: 7.88
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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: Multilingual LibriSpeech
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- type: facebook/multilingual_librispeech
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- config: french
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- split: test
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- args:
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- language: fr
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- metrics:
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- - name: Test WER
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- type: wer
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- value: 4.57
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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: Vox Populi
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- type: facebook/voxpopuli
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- config: french
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- split: test
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- args:
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- language: fr
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- metrics:
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- - name: Test WER
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- type: wer
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- value: 10.14
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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: SUMM-RE
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- type: linagora/SUMM-RE
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- config: french
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- split: test
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- args:
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- language: fr
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- metrics:
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- - name: Test WER
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- type: wer
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- value: 19.8
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  ---
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  # LinTO STT French Punctuated – FastConformer
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  ---
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+ license: cc-by-4.0
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  datasets:
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+ - mozilla-foundation/common_voice_17_0
5
+ - facebook/multilingual_librispeech
6
+ - facebook/voxpopuli
7
+ - datasets-CNRS/PFC
8
+ - datasets-CNRS/CFPP
9
+ - datasets-CNRS/CLAPI
10
+ - gigant/african_accented_french
11
+ - google/fleurs
12
+ - datasets-CNRS/lesvocaux
13
+ - datasets-CNRS/ACSYNT
14
+ - medkit/simsamu
15
  language:
16
+ - fr
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  metrics:
18
+ - wer
19
  base_model:
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+ - nvidia/stt_fr_fastconformer_hybrid_large_pc
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  pipeline_tag: automatic-speech-recognition
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  tags:
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+ - automatic-speech-recognition
24
+ - speech
25
+ - audio
26
+ - Transducer
27
+ - FastConformer
28
+ - CTC
29
+ - Transformer
30
+ - pytorch
31
+ - NeMo
32
  library_name: nemo
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  model-index:
34
+ - name: linto_stt_fr_fastconformer_pc
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: common-voice-18-0
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+ type: mozilla-foundation/common_voice_18_0
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+ config: fr
43
+ split: test
44
+ args:
45
+ language: fr
46
+ metrics:
47
+ - name: Test WER
48
+ type: wer
49
+ value: 7.88
50
+ - task:
51
+ type: Automatic Speech Recognition
52
+ name: automatic-speech-recognition
53
+ dataset:
54
+ name: Multilingual LibriSpeech
55
+ type: facebook/multilingual_librispeech
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+ config: french
57
+ split: test
58
+ args:
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+ language: fr
60
+ metrics:
61
+ - name: Test WER
62
+ type: wer
63
+ value: 4.57
64
+ - task:
65
+ type: Automatic Speech Recognition
66
+ name: automatic-speech-recognition
67
+ dataset:
68
+ name: Vox Populi
69
+ type: facebook/voxpopuli
70
+ config: french
71
+ split: test
72
+ args:
73
+ language: fr
74
+ metrics:
75
+ - name: Test WER
76
+ type: wer
77
+ value: 10.14
78
+ - task:
79
+ type: Automatic Speech Recognition
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+ name: automatic-speech-recognition
81
+ dataset:
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+ name: SUMM-RE
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+ type: linagora/SUMM-RE
84
+ config: french
85
+ split: test
86
+ args:
87
+ language: fr
88
+ metrics:
89
+ - name: Test WER
90
+ type: wer
91
+ value: 19.8
92
  ---
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  # LinTO STT French Punctuated – FastConformer
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