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Wynehills Mimi ASR

Developed by mimi
This is an Automatic Speech Recognition (ASR) model trained on an unknown dataset, achieving a Word Error Rate (WER) of 0.6309.
Downloads 26
Release Time : 3/2/2022

Model Overview

This model is an automatic speech recognition system capable of converting speech into text. The training utilized the Adam optimizer and a linear learning rate scheduler.

Model Features

Optimized Training Process
Trained using the Adam optimizer and a linear learning rate scheduler with a learning rate of 0.0001.
Mixed Precision Training
Utilizes native AMP (Automatic Mixed Precision) training technology to enhance training efficiency.

Model Capabilities

Speech-to-Text
Automatic Speech Recognition

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts.
Word Error Rate 0.6309
Voice Memo Transcription
Convert voice memos into editable text.
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