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kotoba-whisper-v1.1

Automatic Speech Recognition
Transformers
Safetensors
Japanese
whisper
audio
hf-asr-leaderboard
Inference Endpoints
Model card Files Community
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@@ -6,9 +6,6 @@ tags:
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  - audio
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  - automatic-speech-recognition
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  - hf-asr-leaderboard
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- metrics:
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- - wer
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- - cer
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  widget:
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  - example_title: CommonVoice 8.0 (Test Split)
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  src: >-
@@ -20,45 +17,6 @@ widget:
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  src: >-
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  https://huggingface.co/datasets/japanese-asr/ja_asr.reazonspeech_test/resolve/main/sample.flac
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  pipeline_tag: automatic-speech-recognition
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- model-index:
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- - name: kotoba-tech/kotoba-whisper-v1.1
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- results:
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- - task:
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- type: automatic-speech-recognition
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- dataset:
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- name: CommonVoice_8.0 (Japanese)
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- type: japanese-asr/ja_asr.common_voice_8_0
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- metrics:
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- - type: WER
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- value: 59.27
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- name: WER
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- - type: CER
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- value: 9.44
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- name: CER
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- - task:
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- type: automatic-speech-recognition
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- dataset:
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- name: ReazonSpeech (Test)
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- type: japanese-asr/ja_asr.reazonspeech_test
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- metrics:
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- - type: WER
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- value: 56.62
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- name: WER
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- - type: CER
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- value: 12.6
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- name: CER
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- - task:
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- type: automatic-speech-recognition
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- dataset:
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- name: JSUT Basic5000
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- type: japanese-asr/ja_asr.jsut_basic5000
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- metrics:
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- - type: WER
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- value: 64.36
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- name: WER
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- - type: CER
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- value: 8.48
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- name: CER
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  datasets:
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  - japanese-asr/whisper_transcriptions.reazonspeech.large
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  - japanese-asr/whisper_transcriptions.reazonspeech.large.wer_10.0
@@ -77,13 +35,25 @@ Following table presents the raw CER (unlike usual CER where the punctuations ar
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  along with the.
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- | model | CommonVoice 8.0 (Japanese) | JSUT Basic 5000 | ReazonSpeech Test |
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- |:---------------------------------------------------------|---------------------------------------:|-------------------------------------:|----------------------------------------:|
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- | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) (punctuator + stable-ts) | 13.7 | 11.2 | 17.4 |
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- | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) (punctuator) | 13.9 | 11.4 | 18 |
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- | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) (stable-ts) | 15.7 | 15 | 17.7 |
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- | [kotoba-tech/kotoba-whisper-v1.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0) | 15.6 | 15.2 | 17.8 |
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- | [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) | 12.9 | 13.4 | 20.6 |
 
 
 
 
 
 
 
 
 
 
 
 
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  Regarding to the normalized CER, since those update from v1.1 will be removed by the normalization, kotoba-tech/kotoba-whisper-v1.1 marks the same CER values as [kotoba-tech/kotoba-whisper-v1.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0).
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  - audio
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  - automatic-speech-recognition
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  - hf-asr-leaderboard
 
 
 
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  widget:
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  - example_title: CommonVoice 8.0 (Test Split)
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  src: >-
 
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  src: >-
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  https://huggingface.co/datasets/japanese-asr/ja_asr.reazonspeech_test/resolve/main/sample.flac
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  pipeline_tag: automatic-speech-recognition
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  datasets:
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  - japanese-asr/whisper_transcriptions.reazonspeech.large
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  - japanese-asr/whisper_transcriptions.reazonspeech.large.wer_10.0
 
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  along with the.
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+ | model | [CommonVoice 8 (Japanese test set)](https://huggingface.co/datasets/japanese-asr/ja_asr.common_voice_8_0) | [JSUT Basic 5000](https://huggingface.co/datasets/japanese-asr/ja_asr.jsut_basic5000) | [ReazonSpeech (held out test set)](https://huggingface.co/datasets/japanese-asr/ja_asr.reazonspeech_test) |
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+ |:--------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------:|----------------------------------------------------------------------------------------:|------------------------------------------------------------------------------------------------------------:|
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+ | [kotoba-tech/kotoba-whisper-v2.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0) | 17.6 | 15.4 | 17.4 |
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+ | [kotoba-tech/kotoba-whisper-v2.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.1) | 17.7 | 15.4 | 17 |
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+ | [kotoba-tech/kotoba-whisper-v2.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.1) (punctuator + stable-ts) | 17.7 | 15.4 | 17 |
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+ | [kotoba-tech/kotoba-whisper-v2.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.1) (punctuator) | 17.7 | 15.4 | 17 |
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+ | [kotoba-tech/kotoba-whisper-v2.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.1) (stable-ts) | 17.7 | 15.4 | 17 |
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+ | [kotoba-tech/kotoba-whisper-v1.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0) | 17.8 | 15.2 | 17.8 |
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+ | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) | 17.9 | 15 | 17.8 |
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+ | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) (punctuator + stable-ts) | 17.9 | 15 | 17.8 |
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+ | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) (punctuator) | 17.9 | 15 | 17.8 |
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+ | [kotoba-tech/kotoba-whisper-v1.1](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1) (stable-ts) | 17.9 | 15 | 17.8 |
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+ | [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) | 15.3 | 13.4 | 20.5 |
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+ | [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) | 15.9 | 10.6 | 34.6 |
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+ | [openai/whisper-large](https://huggingface.co/openai/whisper-large) | 16.6 | 11.3 | 40.7 |
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+ | [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) | 17.9 | 13.1 | 39.3 |
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+ | [openai/whisper-base](https://huggingface.co/openai/whisper-base) | 34.5 | 26.4 | 76 |
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+ | [openai/whisper-small](https://huggingface.co/openai/whisper-small) | 21.5 | 18.9 | 48.1 |
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+ | [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) | 58.8 | 38.3 | 153.3 |
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  Regarding to the normalized CER, since those update from v1.1 will be removed by the normalization, kotoba-tech/kotoba-whisper-v1.1 marks the same CER values as [kotoba-tech/kotoba-whisper-v1.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0).
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