# Parliament speech optimization

A Finnish automatic speech recognition model fine-tuned based on facebook/wav2vec2-base-fi-voxpopuli-v2, trained with 276.7 hours of annotated data, supports KenLM language model decoding

A Finnish automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, trained with 275.6 hours of Finnish annotated data, supports use with KenLM language model.

A Finnish automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-1b, trained with 259.57 hours of annotated Finnish speech data, supporting Finnish speech-to-text tasks.

An automatic speech recognition model optimized for Finnish, fine-tuned based on Facebook's wav2vec2-xls-r-1b model

A Finnish automatic speech recognition (ASR) model fine-tuned based on Facebook's wav2vec2-xls-r-1b model, trained with 259.57 hours of Finnish annotated data

A fine-tuned version of Facebook's wav2vec2-xls-r-1b model for Finnish automatic speech recognition tasks, trained on 275.6 hours of annotated Finnish speech data

A Catalan speech recognition model fine-tuned based on facebook/wav2vec2-large-100k-voxpopuli

Catalan automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53

A Finnish automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-1b, trained with 275.6 hours of Finnish annotated data

This is a Catalan speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on multiple Catalan datasets.

A speech recognition model fine-tuned on Catalan datasets based on facebook/wav2vec2-xls-r-300m, supporting automatic speech recognition tasks.

Norwegian automatic speech recognition model fine-tuned based on Facebook/Meta's XLS-R feature extractor, achieving a 6.33% word error rate on the NPSC test set