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Voice Clone Large Finetune Final

Developed by neuronbit
This model is a voice cloning model fine-tuned based on openai/whisper-large-v3, primarily used for speech recognition tasks, achieving a word error rate of 15.3572 on the evaluation set.
Downloads 37
Release Time : 11/27/2024

Model Overview

A speech recognition model fine-tuned on Whisper-large-v3, focusing on improving speech recognition accuracy in specific scenarios.

Model Features

Low Word Error Rate
Achieves a word error rate of 15.3572 on the evaluation set, outperforming many general-purpose speech recognition models.
Fine-tuning
Deeply fine-tuned based on Whisper-large-v3 to adapt to specific speech recognition scenarios.
Efficient Training
Utilizes mixed-precision training and gradient accumulation techniques to optimize training efficiency.

Model Capabilities

Speech Recognition
Speech-to-Text
Audio Content Analysis

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts.
Word error rate 15.3572
Voice Notes
Convert voice memos into searchable text.
Speech Analysis
Speech Content Analysis
Analyze audio content and extract key information.
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