# Real-time Speech Transcription

Whisper is OpenAI's state-of-the-art automatic speech recognition (ASR) and speech translation model, trained on over 5 million hours of labeled data with strong zero-shot generalization capabilities. The Turbo version is a pruned and fine-tuned variant of the original, reducing decoder layers from 32 to 4, significantly improving speed with a slight quality trade-off.

Whisper is OpenAI's state-of-the-art automatic speech recognition (ASR) and speech translation model, supporting multiple languages

GigaAM-v2-CTC is a Russian automatic speech recognition (ASR) model trained using the CTC loss function and can be utilized via the Hugging Face transformers library.

A speech recognition model fine-tuned based on OpenAI Whisper-large-v3, specializing in Air Traffic Control (ATCO) scenarios with a word error rate of 17.04%

A Kannada automatic speech recognition model fine-tuned based on openai/whisper-tiny, trained on multiple public Kannada ASR corpora

Whisper Tiny is an automatic speech recognition (ASR) model developed by OpenAI, the smallest version in the Whisper series with 39M parameters.

A speech recognition model fine-tuned on the Singapore English (li_singlish) dataset based on facebook/wav2vec2-xls-r-300m

Facebook's Wav2Vec2 XLS-R model fine-tuned for multilingual speech translation tasks, supporting mutual translation between 22 input languages and 16 output languages.