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Whisper Large V2 Slovenian

Developed by DrishtiSharma
This model is a speech recognition model fine-tuned on the Common Voice 11.0 Slovenian dataset based on OpenAI's Whisper Large-V2 model, with a word error rate of 13.83%.
Downloads 53
Release Time : 12/20/2022

Model Overview

This is an automatic speech recognition (ASR) model specifically designed for Slovenian, suitable for converting Slovenian audio into text.

Model Features

High Accuracy Slovenian Recognition
Achieves a word error rate of 13.83% on the Common Voice 11.0 test set
Based on Whisper Architecture
Utilizes the powerful base model of OpenAI Whisper Large-V2 for fine-tuning
Open Source License
Adopts the Apache-2.0 license, allowing for commercial and research use

Model Capabilities

Slovenian audio to text conversion
Long-form speech transcription
Multi-domain speech recognition

Use Cases

Speech Transcription
Automated Meeting Minutes
Automatically converts Slovenian meeting recordings into text transcripts
Approximately 86.17% accuracy (based on 13.83% WER)
Media Subtitle Generation
Automatically generates subtitles for Slovenian video content
Voice Assistants
Localized Voice Interaction
Provides voice control functionality for Slovenian-speaking users
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