# Real-time speech transcription

A localized Vietnamese-enhanced version of Whisper Large-v3 Turbo optimized with CTranslate2, supporting multilingual speech recognition with high speed and accuracy

A Whisper Large-v3 Turbo speech recognition model optimized for Vietnamese, supporting multiple languages with ultra-fast response and high accuracy

GigaAM-v2-RNNT is a Russian automatic speech recognition (ASR) model based on the RNNT architecture, suitable for speech-to-text tasks.

A Whisper Large-v3 Turbo speech recognition model optimized for Vietnamese, supporting real-time transcription in multiple languages

A speech recognition model fine-tuned based on openai/whisper-small, specifically optimized for Khmer transcription accuracy

Whisper large-v3-turbo is a distilled version of OpenAI Whisper large-v3, with the decoder layers reduced from 32 to 4, significantly improving speed while slightly reducing quality.

An Uzbek automatic speech recognition (ASR) model developed by the Oyqiz team, trained on the Common Voice 10.0 dataset

This is an automatic speech recognition (ASR) model fine-tuned on the Hindi Common Voice 7.0 dataset based on facebook/wav2vec2-xls-r-300m

This is a Punjabi automatic speech recognition model fine-tuned on the Common Voice dataset based on Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10

This is an automatic speech recognition model based on a sequence-to-sequence architecture, capable of converting speech into text.