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MostafaAhmed98
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Sabeq-ASR

Automatic Speech Recognition
NeMo
Arabic
speech-recognition
ASR
Arabic
Conformer
Transducer
CTC
NeMo
hf-asr-leaderboard
speech
audio
FastConformer
Hybrid
Sabeq
Eval Results (legacy)
Model card Files
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 Community
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@@ -37,47 +37,47 @@ model-index:
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  - task:
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  type: automatic-speech-recognition
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- name: Arabic Automatic Speech Recognition
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  dataset:
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- name: CommonVoice 18 (Arabic)
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- type: common_voice
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  metrics:
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  - type: wer
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  name: WER
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- value: 7.01
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  - task:
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  type: automatic-speech-recognition
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- name: MASC-clean
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  dataset:
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- name: MASC-clean
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  type: masc
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  metrics:
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  - type: wer
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  name: WER
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- value: 5.43
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  - task:
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  type: automatic-speech-recognition
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- name: MGB-2
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  dataset:
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- name: MGB-2
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- type: mgb2
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  metrics:
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  - type: wer
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  name: WER
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- value: 9.89
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  - task:
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  type: automatic-speech-recognition
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- name: MASC-noisy
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  dataset:
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- name: MASC-noisy
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- type: masc
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  metrics:
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  - type: wer
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  name: WER
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- value: 18.13
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  - task:
83
  type: automatic-speech-recognition
 
37
 
38
  - task:
39
  type: automatic-speech-recognition
40
+ name: MASC-clean
41
  dataset:
42
+ name: MASC-clean
43
+ type: masc
44
  metrics:
45
  - type: wer
46
  name: WER
47
+ value: 5.43
48
 
49
  - task:
50
  type: automatic-speech-recognition
51
+ name: MASC-noisy
52
  dataset:
53
+ name: MASC-noisy
54
  type: masc
55
  metrics:
56
  - type: wer
57
  name: WER
58
+ value: 18.13
59
 
60
  - task:
61
  type: automatic-speech-recognition
62
+ name: Arabic Automatic Speech Recognition
63
  dataset:
64
+ name: CommonVoice 18 (Arabic)
65
+ type: common_voice
66
  metrics:
67
  - type: wer
68
  name: WER
69
+ value: 7.01
70
 
71
  - task:
72
  type: automatic-speech-recognition
73
+ name: MGB-2
74
  dataset:
75
+ name: MGB-2
76
+ type: mgb2
77
  metrics:
78
  - type: wer
79
  name: WER
80
+ value: 9.89
81
 
82
  - task:
83
  type: automatic-speech-recognition