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Wav2vec2 Large Xlsr 53 Coraa Brazilian Portuguese Gain Normalization Sna

Developed by alefiury
This is a Wav2vec 2.0 model fine-tuned for Portuguese, trained using multiple Portuguese speech datasets including CORAA, CETUC, and Multilingual LibriSpeech.
Downloads 23
Release Time : 3/26/2022

Model Overview

This model is an automatic speech recognition (ASR) model specifically optimized for Portuguese, capable of converting Portuguese speech into text.

Model Features

Multi-dataset training
The model was trained using 5 different Portuguese speech datasets, improving its generalization capability.
Low word error rate
Achieved a word error rate (WER) of 24.89% on the CORAA test set, demonstrating excellent performance.
Open-source license
Uses the Apache-2.0 license, allowing for both commercial and research use.

Model Capabilities

Portuguese speech recognition
Audio to text conversion
Automatic speech transcription

Use Cases

Speech transcription
Meeting minutes
Automatically transcribe Portuguese meeting recordings into text records
Approximately 75.11% accuracy (based on 24.89% WER)
Voice assistant
Speech recognition module for Portuguese voice assistant applications
Education
Language learning apps
Help learners practice Portuguese pronunciation and listening
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