TingChen-ppmc/Nanchang_Dialect_Conversational_Speech_Corpus
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How to use TingChen-ppmc/whisper-small-Nanchang with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="TingChen-ppmc/whisper-small-Nanchang") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("TingChen-ppmc/whisper-small-Nanchang")
model = AutoModelForSpeechSeq2Seq.from_pretrained("TingChen-ppmc/whisper-small-Nanchang")This is a finetuned version of Whisper-small on Nanchang_Dialect_Conversational_Speech_Corpus
CER: 71.83
WER: 84.34
Chinese Word Error Rate (WER) is based on Jieba Word segmentation
Base model
openai/whisper-small