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Wav2vec2 Lar Xlsr Finetune Es Col

Developed by Santiagot1105
This model is a fine-tuned Spanish (Colombian accent) speech recognition model based on facebook/wav2vec2-large-xlsr-53, achieving a word error rate (WER) of 0.2595 on the evaluation set.
Downloads 26
Release Time : 3/2/2022

Model Overview

This is an automatic speech recognition (ASR) model optimized for Spanish (Colombian accent), fine-tuned based on the wav2vec2-large-xlsr-53 architecture.

Model Features

Colombian accent optimization
Specifically optimized for the Spanish accent in the Colombian region
Low word error rate
Achieved a word error rate (WER) of 0.2595 on the evaluation set
Based on XLSR architecture
Fine-tuned based on the powerful wav2vec2-large-xlsr-53 architecture

Model Capabilities

Spanish speech-to-text
Colombian accent recognition
Continuous speech recognition

Use Cases

Speech transcription
Meeting minutes
Automatically transcribe Spanish meeting content from Colombia
Accuracy approximately 74% (based on WER 0.2595)
Customer service dialogue analysis
Analyze voice feedback from Colombian customers
Voice assistants
Localized voice assistant
Develop voice assistant applications for the Colombian region
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