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Exp W2v2t It Xlsr 53 S387
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Exp W2v2t It Xlsr 53 S387

Developed by jonatasgrosman
An Italian automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-xlsr-53 model, trained using the Common Voice 7.0 Italian dataset.
Speech Recognition
Transformers
 OtherOpen Source License:Apache-2.0#Italian speech recognition#XLSR-53 fine-tuning#16kHz sampling rate
Downloads 18
Release Time : 7/8/2022

Model Overview

This model is optimized for Italian automatic speech recognition (ASR) tasks, fine-tuned based on the XLSR-53 architecture, suitable for 16kHz sampled speech input.

Model Features

Italian optimization
Specially fine-tuned and optimized for Italian speech recognition tasks
Based on XLSR-53 architecture
Uses facebook's wav2vec2-large-xlsr-53 pre-trained model as the foundation
16kHz sampling rate support
Requires input speech to be sampled at 16kHz for optimal performance

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
Used for command recognition in Italian voice assistant systems
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