# FastConformer Architecture

This model is a Japanese automatic speech recognition (ASR) model based on the FastConformer architecture, developed by NVIDIA and converted to MLX format.

NVIDIA FastConformer-Hybrid Large is a Russian automatic speech recognition model based on the FastConformer architecture, supporting CTC and RNN-T decoders.

An automatic speech recognition model with 600 million parameters, supporting English transcription, punctuation, capitalization, and timestamp prediction

NVIDIA NeMo Canary Flash is a multilingual multitask speech model supporting automatic speech recognition and translation tasks in English, German, French, and Spanish.

Parakeet CTC 0.6B is an automatic speech recognition model jointly developed by NVIDIA NeMo and Suno.ai, based on the FastConformer architecture with approximately 600 million parameters, supporting English speech transcription.

Parakeet RNNT 0.6B is an automatic speech recognition model jointly developed by NVIDIA NeMo and Suno.ai, based on the FastConformer architecture with approximately 600 million parameters, specifically designed for transcribing English speech into text.

This is a hybrid model for Persian Automatic Speech Recognition (ASR), combining transducer and CTC decoder losses, optimized based on the FastConformer architecture.

Bengali automatic speech recognition model based on FastConformer architecture, trained on approximately 18K hours of data, supporting high-accuracy speech-to-text conversion