# WER optimization

This is an automatic speech recognition (ASR) model fine-tuned from the openai/whisper-small model for Greek speech recognition tasks, trained on 3,620 Greek samples from the Mozilla Common Voice 17.0 dataset.

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the IMaSC, Indic TTS Malayalam, and OpenSLR Malayalam training datasets, supporting automatic speech recognition for Malayalam.

Slovak speech recognition model fine-tuned on OpenAI Whisper-small, trained on the Common Voice 11.0 Slovak dataset

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset, designed for English-Filipino speech recognition tasks.

English-Filipino speech recognition model fine-tuned based on jonatasgrosman/wav2vec2-large-xlsr-53-english

This model is a speech recognition model fine-tuned on an unknown dataset based on facebook/wav2vec2-base, primarily used for Automatic Speech Recognition (ASR) tasks.

Speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, optimized on 10ms audio masked training data

This model is a fine-tuned speech recognition model based on Facebook's wav2vec2-xls-r-300m on the Common Voice Galician (gl) dataset, achieving a word error rate (WER) of 20.8% on the test set.

This model is a fine-tuned automatic speech recognition model based on facebook/wav2vec2-xls-r-300m on the Common Voice 8.0 Kyrgyz dataset

Upper Sorbian speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, supporting 16kHz audio input

This is a Wolof automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, aimed at addressing the scarcity of Wolof language resources.

This model is an automatic speech recognition model fine-tuned on the Common Voice 7.0 AB dataset, based on the XLS-R dummy architecture

An automatic speech recognition model fine-tuned on the TIMIT_ASR dataset based on the wav2vec2-base-random model

This model is a fine-tuned automatic speech recognition model for Breton based on facebook/wav2vec2-xls-r-1b.

This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8 dataset based on the facebook/wav2vec2-xls-r-300m model, supporting Guarani (gn).

This is a Portuguese automatic speech recognition model based on the SEW-tiny architecture, fine-tuned on the Common Voice 8 dataset, suitable for Portuguese speech recognition tasks.

A Georgian speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, trained on the Common Voice dataset

This model is a fine-tuned Turkish speech recognition model based on facebook/wav2vec2-large-xlsr-53 on the Common Voice dataset

This is a speech recognition model fine-tuned on Breton language dataset based on facebook/wav2vec2-xls-r-300m, achieving a 52.3% Word Error Rate (WER) on the Common Voice 8 test set.

This is an automatic speech recognition model fine-tuned on the Upper Sorbian (HSB) dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate (WER) of 0.4393 on the Common Voice 8 test set.