openai/whisper-tiny

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. It was trained on 680k hours of labelled data and demonstrates a strong ability to generalize to many datasets and domains without fine-tuning. Whisper is a Transformer-based encoder-decoder model trained on English-only or multilingual data. The English-only models were trained on speech recognition, while the multilingual models were trained on both speech recognition and machine translation.