# Multi-scenario ASR

This is an automatic speech recognition model that has been converted to a version suitable for MLX and can perform inference quickly.

A speech recognition model fine-tuned on 100 hours of Vietnamese speech data based on openai/whisper-base model, improving Vietnamese transcription accuracy

This is an automatic speech recognition (ASR) model fine-tuned from the openai/whisper-small model for Greek speech recognition tasks, trained on 3,620 Greek samples from the Mozilla Common Voice 17.0 dataset.

This is a converted and quantized speech recognition model. It is converted from the distil-large-v3 model to the OpenVINO™ IR format, and the weights are compressed to INT8 to improve performance and compatibility.

A speech recognition model fine-tuned on the Turkish Common Voice dataset based on OpenAI Whisper-small

Estonian speech recognition model fine-tuned from OpenAI Whisper-large-v2, developed by Tallinn University of Technology, trained on approximately 1,200 hours of data

This is a Hindi automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper Large V2, trained on the Common Voice 11.0 dataset with a word error rate (WER) of 10.05%.

This model is an automatic speech recognition (ASR) model based on OpenAI's Whisper Small architecture, fine-tuned on the Common Voice 11.0 Vietnamese dataset

Slovak speech recognition model fine-tuned on OpenAI Whisper-small, trained on the Common Voice 11.0 Slovak dataset

Portuguese-optimized Whisper Medium speech recognition model achieving 6.579 word error rate (WER) on Common Voice 11 dataset

An Italian automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-xlsr-53 model, trained using the Common Voice 7.0 Italian dataset.

A Thai speech recognition model fine-tuned based on facebook/wav2vec2-large-lv60, trained using the Common Voice 7.0 dataset

This is an automatic speech recognition (ASR) model fine-tuned on the German Common Voice 9.0 dataset, based on Facebook's wav2vec2-large-xlsr-53 model.

Vietnamese automatic speech recognition model based on Wav2vec2 architecture, supporting audio-to-text conversion

Indonesian automatic speech recognition (ASR) model fine-tuned on the XLSR architecture, trained on the Common Voice Indonesian dataset

An Estonian automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, trained with approximately 800 hours of diverse data

This model is an automatic speech recognition (ASR) model fine-tuned on the Turkish Common Voice 8.0 dataset based on facebook/wav2vec2-xls-r-300m, achieving a test WER of 28.69%.

Automatic speech recognition model fine-tuned on OpenSLR SLR66 Telugu dataset based on facebook/wav2vec2-xls-r-300m

This model is a speech recognition model fine-tuned on the Common Voice 7.0 Vietnamese dataset and private datasets based on facebook/wav2vec2-xls-r-300m.

A Hindi speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on multilingual and code-switching ASR challenge data for low-resource Indian languages

An automatic speech recognition (ASR) model fine-tuned on Dutch (nl) dataset based on facebook/wav2vec2-xls-r-300m

Hindi speech recognition model trained on the common_voice dataset