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Wav2vec2 Base Hu Voxpopuli V2
A speech pretraining model based on Facebook's Wav2Vec2 architecture, pretrained on Hungarian data from the VoxPopuli corpus
Downloads 30
Release Time : 3/2/2022
Model Overview
This is a speech model based on the Wav2Vec2 architecture, specifically pretrained on 17.7k unlabeled Hungarian data from the VoxPopuli corpus. The model is suitable for processing 16kHz sampled speech audio and is primarily used for speech representation learning, serving as a foundational model for tasks like speech recognition.
Model Features
Hungarian language optimization
Specifically pretrained on Hungarian speech data, making it suitable for Hungarian speech processing tasks
Wav2Vec2 architecture
Utilizes Facebook's advanced Wav2Vec2 architecture, capable of learning speech representations from raw audio
16kHz audio support
The model is optimized for 16kHz sampled speech audio; ensure input audio meets this sampling rate
Model Capabilities
Speech representation learning
Speech feature extraction
Use Cases
Speech processing
Hungarian speech recognition
Can serve as a foundational model, fine-tuned for Hungarian automatic speech recognition systems
Requires additional labeled data for fine-tuning
Speech representation learning
Used for extracting feature representations of Hungarian speech
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