# Low WER transcription

This is an automatic speech recognition model fine-tuned on approximately 1000 hours of Kazakh speech data based on the Whisper large-v3-turbo model, with a character error rate of 9.16% on the test set.

An optimized Hindi-Hindi-English mixed automatic speech recognition model based on the Whisper architecture, supporting high-precision transcription in noisy environments

This is an automatic speech recognition model optimized for Catalan, fine-tuned based on OpenAI's Whisper-large-v3 and developed by the Barcelona Supercomputing Center.

Fine-tuned on an enhanced Thai dataset based on openai/whisper-medium for Thai automatic speech recognition

An automatic speech recognition model fine-tuned on Basque data from the Common Voice dataset, based on facebook/wav2vec2-large-xlsr-53