# Long audio chunk processing

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.

Persian automatic speech recognition model optimized based on OpenAI Whisper-large-v3-turbo, supporting medical field applications

Whisper-base is an automatic speech recognition (ASR) model optimized for low-resource Kazakh language, fine-tuned on the Kazakh Speech Corpus 2 with over 1,000 hours of annotated data.

A Spanish speech recognition model distilled from Whisper v3 large model, jointly developed by SandboxAI and Universidad Nacional de Rio Negro

Norwegian automatic speech recognition model developed by the National Library of Norway based on OpenAI Whisper, specifically optimized for verbatim transcription scenarios, outputting all-lowercase, punctuation-free text

Russian speech recognition model fine-tuned based on openai/whisper-small, trained on the Sberdevices_golos_10h_crowd dataset

An automatic speech recognition (ASR) system based on Facebook's wav2vec2-large-960h-lv60-self model, improved with an enhanced Wikipedia language model

This is an automatic speech recognition (ASR) model fine-tuned on Bulgarian speech datasets based on the facebook/wav2vec2-xls-r-300m model.