Update README.md

README.md

@@ -9,4 +9,18 @@ metrics:
 base_model:
 - openai/whisper-large-v3-turbo
 library_name: transformers
----
+---
+
+# Whisper Large V3 Japanese Phone Accent
+
+This is a Whisper model designed to transcribe Japanese speech into Katakana with pitch accent annotations. The model is built upon the whisper-large-v3-turbo and has been fine-tuned using a subset (1/20) of the Galgame-Speech dataset, as well as the jsut-5000 dataset.
+
+## Training Data:
+- **Stage 1**: Audio from the Galgame-Speech dataset was used. The text was converted into Katakana sequences with pitch accent annotations using pyopenjtalk.
+- **Stage 2**: JSUT-5000 dataset, using its original training set with pitch accent annotations. The data was split into 90% for training and 10% for evaluation.
+
+## Evaluation Results:
+- The model achieved a CER (Character Error Rate) of approximately 4% on the JSUT-5000 test set, which is an improvement over the 7% CER of pyopenjtalk. 
+- Training only with Stage 1 resulted in a CER of 13%, with errors including specific misreadings and misclassification between on'yomi (音読) and kun'yomi (訓読) readings. This was improved in Stage 2.
+
+We are currently seeking Japanese pitch accent annotated datasets. If you have such data, please reach out!