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Wav2vec2 Large Xlsr 53 Polish

Developed by facebook
Polish automatic speech recognition model developed by Facebook, based on Wav2Vec2 architecture and XLSR-53 multilingual pretrained model
Downloads 174
Release Time : 3/2/2022

Model Overview

This is an automatic speech recognition model optimized for Polish, based on large-scale self-supervised learning pretraining, suitable for speech-to-text tasks

Model Features

Multilingual pretraining foundation
Fine-tuned based on XLSR-53 multilingual model with strong cross-lingual representation capabilities
High-precision Polish recognition
Specifically optimized for Polish, achieving 24.6% word error rate on Common Voice test set
End-to-end speech recognition
Directly generates text output from raw audio input without complex components of traditional ASR systems

Model Capabilities

Polish speech recognition
Audio-to-text conversion
Speech content transcription

Use Cases

Speech transcription
Voice memo transcription
Automatically convert Polish voice memos into searchable text
24.6% word error rate (on Common Voice test set)
Customer service call logs
Automatically transcribe Polish customer service calls for subsequent analysis
Assistive technology
Voice control applications
Provide voice control interfaces for Polish users
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