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Nick Asr V2

Developed by ntoldalagi
nick_asr_v2 is an automatic speech recognition (ASR) model, fine-tuned on an unknown dataset, achieving a loss value of 1.4562, a word error rate of 0.6422, and a character error rate of 0.2409 on the evaluation set.
Downloads 18
Release Time : 4/5/2022

Model Overview

This model is an automatic speech recognition model primarily used for converting speech to text.

Model Features

Low Character Error Rate
Achieved a character error rate of 0.2409 on the evaluation set, demonstrating good performance.
Optimized Training Parameters
Trained using the Adam optimizer and a linear learning rate scheduler.

Model Capabilities

Speech-to-Text
Automatic Speech Recognition

Use Cases

Speech Transcription
Meeting Minutes
Convert meeting recordings into text records
Subtitle Generation
Generate subtitles for video content
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