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Wav2vec2 Base Toy Train Data Masked Audio
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Wav2vec2 Base Toy Train Data Masked Audio

Developed by scasutt
A speech recognition model fine-tuned from facebook/wav2vec2-base, trained on toy dataset, supporting audio masking tasks
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Fine-tuned Model#Low-resource Training
Downloads 22
Release Time : 3/26/2022

Model Overview

This model is a variant based on the wav2vec2-base architecture, specifically optimized for audio masking tasks, suitable for speech recognition and audio feature extraction scenarios

Model Features

Audio Masking Capability
Specifically optimized for audio masking tasks, capable of effectively processing masked audio inputs
Lightweight Fine-tuning
Fine-tuned based on the pre-trained wav2vec2-base model, suitable for small-scale datasets
Progressive Performance Improvement
Word error rate gradually decreased from 1.0 to 0.7340 during training, showing a good learning curve

Model Capabilities

Speech Recognition
Audio Feature Extraction
Masked Audio Prediction

Use Cases

Speech Processing
Noisy Environment Speech Recognition
Performing speech recognition when audio is partially masked or interfered by noise
Word error rate 0.7340
Audio Data Augmentation
Used to generate training data for audio masking tasks
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