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Exp W2v2t It No Pretraining S842
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Exp W2v2t It No Pretraining S842

Developed by jonatasgrosman
Fine-tuned from a randomly initialized wav2vec2 model for Italian speech recognition tasks, trained on the training split of Common Voice 7.0 (Italian).
Speech Recognition
Transformers
 OtherOpen Source License:Apache-2.0#Italian speech recognition#No pre-trained model#16kHz sampling rate
Downloads 18
Release Time : 7/8/2022

Model Overview

This model is an automatic speech recognition (ASR) model based on the wav2vec2 architecture, specifically optimized for Italian. It does not rely on pre-trained weights and is trained from a randomly initialized state.

Model Features

Random initialization training
The model does not rely on pre-trained weights and is trained from a randomly initialized state, making it suitable for customized development for specific languages.
Italian optimization
Specifically optimized for Italian speech recognition tasks, trained on the Italian dataset from Common Voice 7.0.
16kHz sampling rate support
The model processes speech input at a 16kHz sampling rate, aligning with common speech recognition application scenarios.

Model Capabilities

Italian speech recognition
Speech-to-text

Use Cases

Speech transcription
Italian speech transcription
Convert Italian speech content into text
Voice assistants
Italian voice command recognition
Used for command recognition in Italian voice assistant systems
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