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Exp W2v2t It Wav2vec2 S609
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Exp W2v2t It Wav2vec2 S609

Developed by jonatasgrosman
An Italian automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-lv60, trained using the Common Voice 7.0 Italian dataset.
Speech Recognition
Transformers
 OtherOpen Source License:Apache-2.0#Italian speech recognition#16kHz sampling rate#Fine-tuned based on wav2vec2
Downloads 18
Release Time : 7/8/2022

Model Overview

This model is an automatic speech recognition (ASR) model for Italian, based on the wav2vec2 architecture, suitable for converting Italian speech to text.

Model Features

Italian speech recognition
Speech recognition capabilities specifically optimized for Italian.
Based on wav2vec2 architecture
Uses facebook's wav2vec2-large-lv60 as the base model.
16kHz sampling rate support
Requires input speech to have a 16kHz sampling rate.

Model Capabilities

Italian speech-to-text
Automatic speech recognition

Use Cases

Speech transcription
Italian speech transcription
Convert Italian speech content into text
Voice assistants
Italian voice command recognition
Recognize and understand Italian voice commands
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