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Wav2vec2 Large Xlsr 53 Demo Colab
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Wav2vec2 Large Xlsr 53 Demo Colab

Developed by emre
This model is a speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-large-xlsr-53, primarily used for robust speech event recognition.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Multilingual speech recognition#Robust speech processing#XLSR fine-tuning
Downloads 16
Release Time : 3/2/2022

Model Overview

This is a speech recognition model based on the wav2vec2 architecture, fine-tuned for the common_voice dataset, capable of converting speech to text.

Model Features

Based on wav2vec2 architecture
Uses facebook's wav2vec2-large-xlsr-53 as the base model, featuring powerful speech feature extraction capabilities.
Fine-tuned on Common Voice dataset
Fine-tuned on the Common Voice dataset, enhancing the model's robustness and adaptability.
Relatively low word error rate
Achieved a word error rate (WER) of 0.4834 on the evaluation set, demonstrating good performance.

Model Capabilities

Speech recognition
Speech-to-text
Robust speech event detection

Use Cases

Speech transcription
Speech transcription
Automatically convert speech content into text format
Word error rate 0.4834
Voice assistant
Voice command recognition
Recognize user voice commands and convert them into executable commands
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