# Real-time transcription

An automatic speech recognition model fine-tuned on Vietnamese speech data based on openai/whisper-small, improving Vietnamese transcription accuracy and robustness

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 the CTranslate2 converted version of OpenAI's Whisper-large-v3-turbo model, employing INT8 quantization technology, primarily designed for efficient speech recognition tasks.

A Sinhala speech recognition model fine-tuned based on OpenAI Whisper-small

The Moonshine model is an automatic speech recognition (ASR) model developed by Useful Sensors, focusing on efficient English speech transcription on resource-constrained devices.

This model is a conversion from the GGML format of distil-whisper/distil-large-v3-ggml to Ratchet's custom format, primarily used for speech recognition tasks.

Distil-Whisper is a distilled version of the Whisper model, optimized for long-form transcription, offering faster inference speed and improved word error rate (WER) performance.

This is a CTranslate2 converted version of the OpenAI Whisper large-v3 model, specifically fine-tuned for Japanese with an additional 4,000 training steps, supporting multilingual speech recognition.

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

CTranslate2 converted version of OpenAI Whisper tiny model for efficient speech recognition

Whisper-large-v3 is an open-source automatic speech recognition (ASR) model by OpenAI, supporting speech-to-text tasks in multiple languages.

The Whisper base model is an Automatic Speech Recognition (ASR) model developed by OpenAI, supporting speech-to-text tasks in multiple languages.

An Arabic speech recognition model fine-tuned based on openai/whisper-medium, supporting streaming processing

This is an automatic speech recognition model fine-tuned on the Urdu Common Voice 7 dataset based on facebook/wav2vec2-xls-r-300m.

This model is a Swedish automatic speech recognition model fine-tuned on the COMMON_VOICE - SV-SE dataset based on facebook/wav2vec2-large-xlsr-53.