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Whisper Tiny En

Developed by qualcomm
An English speech recognition and translation model optimized for mobile deployment, implemented by Qualcomm.
Downloads 3,269
Release Time : 3/4/2024

Model Overview

Whisper-Tiny-En is a lightweight version of the OpenAI Whisper ASR model, optimized for English transcription and translation, and suitable for deployment on mobile devices. This model performs robustly in noisy environments and is good at handling audio segments up to 30 seconds long.

Model Features

Optimization for mobile devices
Optimized for deployment on Qualcomm mobile devices
Robustness in noisy environments
Performs robustly in real-world noisy environments, suitable for practical application scenarios
Long-format transcription ability
Can accurately handle audio segments up to 30 seconds long

Model Capabilities

English speech recognition
Speech-to-text
Speech translation

Use Cases

Speech transcription
Meeting minutes
Automatically transcribe English meeting recordings into text
Meeting minutes text with high accuracy
Voice memo
Convert voice memos into searchable text
Text memos convenient for retrieval
Speech translation
Real-time translation
Translate English speech into text in other languages in real-time
Fast and accurate translation results
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