Wav2vec2 Xls R Parlaspeech Hr
A Croatian automatic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on 300 hours of parliamentary speech data
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Release Time : 3/2/2022
Model Overview
This model is specifically designed for Croatian automatic speech recognition (ASR) tasks, optimized for parliamentary speech scenarios, capable of accurately transcribing Croatian parliamentary speech content.
Model Features
Parliamentary Speech Optimization
Specially optimized for Croatian parliamentary speech scenarios, capable of handling parliamentary-specific language styles and terminology
High Accuracy
Achieves a character error rate (CER) of 0.0234 and word error rate (WER) of 0.0761 on test sets
Large-scale Training Data
Fine-tuned using 300 hours of Croatian parliamentary speech dataset (ParlaSpeech-HR v1.0)
Model Capabilities
Croatian speech recognition
Parliamentary speech transcription
Audio to text conversion
Use Cases
Government & Parliament
Parliament Meeting Minutes
Automatically transcribe Croatian parliamentary meeting content to generate text records
Accuracy up to 97.66% (based on CER metric)
Academic Research
Political Language Analysis
Provide political science researchers with text data of Croatian parliamentary speeches
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