# Whisper Architecture

A Thai speech recognition model fine-tuned based on OpenAI Whisper-medium, supporting automatic speech recognition tasks for Thai and English.

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

This is a Thai automatic speech recognition model fine-tuned based on OpenAI's Whisper Large V3 model, achieving a 6.59% word error rate on the Common Voice 13 Thai test set.

A medical domain speech recognition model fine-tuned based on OpenAI Whisper-small, supporting speech-to-text tasks in medical scenarios

This model is a fine-tuned version of openai/whisper-small for speech recognition, supporting multiple languages and suitable for automatic speech recognition tasks.

A Chinese speech recognition model fine-tuned based on openai/whisper-tiny, trained on the Common Voice 11.0 Chinese dataset

Hindi speech recognition model fine-tuned based on OpenAI Whisper Large-v2, achieving a word error rate of 11.3% on the Common Voice 11.0 Hindi test set

This model is a speech recognition model fine-tuned on the Spanish version of the Common Voice dataset v11, based on OpenAI's whisper-small, specializing in Spanish transcription tasks.