Whisper Small Te

--- base_model: openai/whisper-small datasets: - te language: te library_name: transformers license: apache-2.0 model-index: - name: Finetuned openai/whisper-small on Telugu results: - task: type: automatic-speech-recognition name: Speech-to-Text dataset: name: Common Voice (Telugu) type: common_voice metrics: - type: wer value: 73.277 --- # Finetuned openai/whisper-small on 99 Telugu training audio samples from ./cv-corpus-26.0-2026-06-12/te. This model was created from the Mozilla.ai Blueprint: [speech-to-text-finetune](https://github.com/mozilla-ai/speech-to-text-finetune). ## Evaluation results on 93 audio samples of Telugu: ### Baseline model (before finetuning) on Telugu - Word Error Rate (Normalized): 211.709 - Word Error Rate (Orthographic): 197.708 - Character Error Rate (Normalized): 174.02 - Character Error Rate (Orthographic): 229.888 - Loss: 2.799 ### Finetuned model (after finetuning) on Telugu - Word Error Rate (Normalized): 73.277 - Word Error Rate (Orthographic): 102.579 - Character Error Rate (Normalized): 43.739 - Character Error Rate (Orthographic): 60.743 - Loss: 1.079

Source context: 9 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo Nagarariharshini/whisper-small-te