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Nick Asr LID

Developed by ntoldalagi
An automatic speech recognition model trained on an unknown dataset, supporting language identification tasks
Downloads 28
Release Time : 4/15/2022

Model Overview

This model is an automatic speech recognition (ASR) model, potentially used for language identification (LID) tasks. The training process exhibited unstable loss values, ultimately achieving a word error rate and character error rate of 1.0 on the validation set.

Model Features

Multi-round Training
The model underwent 10 training rounds, showing trends in training loss variation
Mixed Precision Training
Utilized native AMP technology for mixed precision training

Model Capabilities

Speech Recognition
Language Identification

Use Cases

Speech Processing
Speech-to-Text
Convert speech content into text format
Current word error rate is 1.0
Language Identification
Identify the language type in speech
Current character error rate is 1.0
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