# Lightweight ASR

Lite-Whisper is a compressed version of OpenAI Whisper, utilizing LiteASR technology to significantly reduce model size while maintaining high accuracy.

Lite-Whisper is a compressed version of OpenAI Whisper, utilizing LiteASR technology to reduce model size while maintaining high accuracy.

Lite-Whisper is a compressed version based on OpenAI Whisper, utilizing LiteASR technology to reduce model size while maintaining high accuracy.

ONNX-format automatic speech recognition model based on the Moonshine base model, supporting efficient inference

German speech recognition model optimized based on Whisper architecture, with 39 million parameters, supporting efficient German speech transcription

Moonshine is a series of automatic speech recognition (ASR) models developed by Useful Sensors, specifically designed for English speech transcription, excelling on resource-constrained platforms.

This model is an automatic speech recognition (ASR) model fine-tuned on Burmese speech datasets based on openai/whisper-tiny, supporting Burmese speech-to-text tasks.

A speech recognition model fine-tuned on the Common Voice 11.0 Chinese dataset based on OpenAI Whisper Tiny model

A speech recognition model fine-tuned on the common_voice_11_0 Japanese dataset based on rinna/japanese-wav2vec2-base, supporting only hiragana output

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