# Low Character Error Rate

A Taiwanese Mandarin speech recognition model fine-tuned from microsoft/Phi-4-multimodal-instruct, trained on the Taiwanese Mandarin General Voice 19.0 dataset

A Japanese automatic speech recognition model fine-tuned on the large-scale Japanese ASR corpus ReazonSpeech v2.0, based on the wav2vec 2.0 Large architecture

A Chinese speech recognition model fine-tuned based on whisper-large-v2, achieving a 30-70% relative performance improvement in multiple Chinese speech recognition benchmarks.

A fine-tuned handwritten OCR model based on Microsoft's trocr-base-handwritten, achieving a character error rate (CER) of 0.0360 on the evaluation set

An OCR model fine-tuned based on microsoft/trocr-base-printed, specifically designed for license plate text recognition

Estonian automatic speech recognition model fine-tuned on the wav2vec2-xls-r-300m architecture, trained on the Common Voice 7.0 dataset

A Nynorsk automatic speech recognition model based on the XLSR-300M architecture, trained on the NPSC dataset with low word error rate and character error rate.