# Multi-scenario robustness

An Italian automatic speech recognition model fine-tuned on Common Voice 7 and Libri Speech datasets based on facebook/wav2vec2-xls-r-1b

This is a Russian automatic speech recognition model based on the Wav2Vec2 XLS-R architecture with a parameter scale of 300m, evaluated on public speech and robust speech event datasets.

This model is a fine-tuned Spanish automatic speech recognition model based on facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - ES dataset.

This model is an automatic speech recognition model fine-tuned on the Common Voice Swedish dataset based on facebook/wav2vec2-xls-r-1b, supporting Swedish speech-to-text tasks.

An automatic speech recognition (ASR) model fine-tuned on Armenian language datasets based on facebook/wav2vec2-xls-r-300m, supporting Armenian speech-to-text tasks.

An automatic speech recognition model fine-tuned on the Common Voice Portuguese dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition model fine-tuned on the Portuguese Common Voice 8.0 dataset based on Facebook's wav2vec2-xls-r-300m model

An automatic speech recognition model fine-tuned on the NBAILAB/NPSC - 16K_MP3 dataset based on KBLab/wav2vec2-large-voxrex

XLS-R-300M is an automatic speech recognition (ASR) model specifically optimized for Dutch, trained on the Common Voice 8 Dutch dataset.