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stt_zh_citrinet_1024_gamma_0_25

Automatic Speech Recognition
NeMo
PyTorch
Chinese
speech
audio
CTC
Citrinet
NeMo
hf-asr-leaderboard
Riva
Eval Results
Model card Files Community
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@@ -11,7 +11,6 @@ tags:
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  - audio
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  - CTC
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  - Citrinet
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- - Transformer
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  - pytorch
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  - NeMo
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  - hf-asr-leaderboard
@@ -24,108 +23,32 @@ model-index:
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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: LibriSpeech (clean)
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- type: librispeech_asr
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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 WER
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- type: wer
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- value: 2.2
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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: LibriSpeech (other)
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- type: librispeech_asr
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- config: other
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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 WER
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- type: wer
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- value: 4.3
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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: english
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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 WER
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- type: wer
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- value: 7.2
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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 7.0
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- type: mozilla-foundation/common_voice_7_0
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- config: en
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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 WER
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- type: wer
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- value: 8.0
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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 8.0
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- type: mozilla-foundation/common_voice_8_0
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- config: en
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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 WER
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- type: wer
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- value: 9.48
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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: Wall Street Journal 92
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- type: wsj_0
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- args:
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- language: en
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 2.0
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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: Wall Street Journal 93
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- type: wsj_1
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- args:
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- language: en
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- metrics:
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- - name: Test WER
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- type: wer
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- value: 2.9
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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: National Singapore Corpus
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- type: nsc_part_1
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- args:
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- language: en
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- metrics:
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- - name: Test WER
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- type: wer
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- value: 7.0
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  ---
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  # NVIDIA Streaming Citrinet 1024 (zh)
 
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  - audio
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  - CTC
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  - Citrinet
 
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  - pytorch
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  - NeMo
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  - hf-asr-leaderboard
 
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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: Dev iOS
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+ type: aishell_2
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+ config: iOS
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+ split: dev
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  args:
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+ language: zh
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  metrics:
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+ - name: Dev CER
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+ type: cer
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+ value: 4.8
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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: Test iOS
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+ type: aishell_2
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+ config: iOS
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  split: test
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  args:
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+ language: zh
 
 
 
 
 
 
 
 
 
 
 
 
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  metrics:
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+ - name: Test CER
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+ type: cer
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+ value: 5.1
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+
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+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # NVIDIA Streaming Citrinet 1024 (zh)