# Whisper architecture

This is a Whisper-small speech recognition model fine-tuned on French datasets, reducing the word error rate by 6.793 percentage points compared to the baseline model.

Turkish speech recognition model fine-tuned based on OpenAI Whisper-small

A Korean pronunciation quality evaluation model fine-tuned based on Whisper-small, capable of scoring Korean pronunciation on a 1-5 scale

A speech recognition model fine-tuned on Dutch datasets based on OpenAI Whisper Large V2, with a word error rate of 10.14%

Arabic speech recognition model based on Whisper-large-v3, optimized for Moroccan accent

Hebrew automatic speech recognition (ASR) model based on OpenAI Whisper architecture, fine-tuned on Hebrew datasets

This model is a fine-tuned version of whisper-small-cv11-french, optimized for Haitian Creole speech recognition

A Whisper medium speech recognition model fine-tuned on the CommonVoice Arabic dataset, developed by the SpeechBrain team

This model is a Japanese speech recognition model fine-tuned based on openai/whisper-small, supporting Japanese speech-to-text tasks.

A Khmer speech recognition model fine-tuned based on OpenAI Whisper-small, trained on OpenSLR, Google FLEURS, and km-speech-corpus datasets

This model is a fine-tuned version of openai/whisper-small on the google/fleurs yo_ng dataset, designed for automatic speech recognition tasks in Yoruba.

This model is a speech recognition model fine-tuned on the Common Voice 11.0 Slovenian dataset based on OpenAI's Whisper Large-V2 model, with a word error rate of 13.83%.

An automatic speech recognition (ASR) model fine-tuned on Japanese speech datasets based on OpenAI Whisper-large-v2

Georgian automatic speech recognition model fine-tuned based on OpenAI Whisper-small

A Danish automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper Medium, trained on Common Voice 11 and FLEURS datasets

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

A speech recognition model fine-tuned on the Zeroth Korean dataset based on OpenAI Whisper Medium model, with a word error rate of 3.64%

This model is a fine-tuned Turkish speech recognition model based on OpenAI's Whisper Medium, with significantly reduced word error rate.