license: cc-by-nd-4.0
datasets:
- google/fleurs
- mozilla-foundation/common_voice_16_1
- joujiboi/japanese-anime-speech
language:
- ja
metrics:
- wer
library_name: transformers
pipeline_tag: automatic-speech-recognition
How to use:
audio_file ="path/to/audio_file"
model = "sin2piusc/whisper-medium-JP-5k"
pipe = pipeline("automatic-speech-recognition", "model")
pipe(audio_file, generate_kwargs={"language": "japanese", "task":"translate"})
-- or
client = InferenceClient(model, token="hf_token")
client.automatic_speech_recognition(audio_file).text
--
Make sure to set task and language.
--
--Original sentence:
集団内のすべての個体が特定の表現形質に関して同一である場合 それらは単形性と呼ばれます。
When all individuals in a population are identical with respect to a particular phenotypic trait, they are called monomorphic.
--sin2piusc/whisper-medium-5k:
集団内のすべての個体が特定の表現形質に関して同一である場合 それらは単形性と呼ばれます
When all individuals in a population are identical with respect to a particular phenotypic trait, they are called monomorphic.
--openai/whisper-medium:
集団内のすべての個体が特定の表現形式に関して同一である場合、それらは単形性と呼ばれます。
If all individuals in a population are identical with respect to a particular form of expression, they are called monomorphic.