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Wav2vec2 Large It Voxpopuli

Developed by facebook
A speech recognition model pre-trained on unlabeled Italian data from VoxPopuli, using Facebook's Wav2Vec2 architecture
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Release Time : 3/2/2022

Model Overview

This model is an implementation of Facebook's Wav2Vec2 large model for Italian, specifically optimized for Italian audio data and suitable for automatic speech recognition tasks.

Model Features

Large-scale pretraining
Pre-trained on the Italian subset of the VoxPopuli corpus with unlabeled data, featuring robust speech feature extraction capabilities
Multilingual architecture
Utilizes the XLSR-53 architecture, supporting cross-language speech recognition
Fine-tuning capability
Supports fine-tuning for specific domains or accents to improve recognition accuracy

Model Capabilities

Italian speech recognition
Raw audio processing
Speech feature extraction

Use Cases

Speech transcription
Automated meeting minutes
Automatically convert Italian meeting recordings into text transcripts
Media subtitle generation
Automatically generate subtitles for Italian video content
Voice assistants
Italian voice command recognition
Used for voice command recognition in Italian smart home or in-car systems
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