# Dutch speech recognition

A speech recognition model fine-tuned on Dutch datasets based on OpenAI Whisper Large V2, with a word error rate of 10.14%

A Dutch speech recognition model fine-tuned on Dutch spoken language corpus using CTC loss function, based on the facebook/wav2vec2-large-xlsr-53 large model

A Dutch Wav2Vec2 model built by continuous pre-training and fine-tuning the original English model on the Dutch speech corpus CGN.

This is a Dutch automatic speech recognition (ASR) model fine-tuned based on the XLS-R 1 billion parameter model, trained on multiple datasets including Common Voice 8.0, supporting 16kHz sampling rate audio input.

An automatic speech recognition model fine-tuned using the Common Voice Dutch dataset, based on Facebook's wav2vec2-large-xlsr-53 model

A speech model based on Facebook's Wav2Vec2 architecture, specifically pretrained for Dutch using 19.0k unlabeled data from the VoxPopuli corpus.

Automatic speech recognition model pre-trained on the Dutch subset of the VoxPopuli corpus

A Dutch speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, trained on the Common Voice and CSS10 datasets, supporting 16kHz audio input.

A speech recognition model based on Facebook's Wav2Vec2 architecture, pretrained on 10K hours of unlabeled Dutch data from the VoxPopuli corpus and fine-tuned on Dutch transcription data.

An automatic speech recognition model fine-tuned on the Common Voice 8 Dutch dataset based on facebook/wav2vec2-xls-r-300m, including a 6-gram KenLM language model

An automatic speech recognition (ASR) model fine-tuned on Dutch (nl) dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition model based on the XLS-R architecture, specifically optimized for Dutch and Flemish, incorporating a 5-gram language model to improve recognition accuracy.

An automatic speech recognition model fine-tuned on the Dutch Common Voice dataset based on facebook/wav2vec2-large-xlsr-53, achieving a test WER of 26.49%.

An automatic speech recognition model fine-tuned on the Dutch Common Voice 8 dataset based on facebook/wav2vec2-xls-r-1b, combined with a KenLM 5-gram language model

This is an automatic speech recognition (ASR) model based on the XLS-R architecture with 300M parameters, specifically optimized for Dutch and trained on the Common Voice 8.0 dataset.

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

One of Facebook's wav2vec2 series models, specifically optimized for Dutch automatic speech recognition (ASR).

This is an automatic speech recognition (ASR) model fine-tuned on the Dutch COMMON_VOICE dataset based on the facebook/wav2vec2-large-xlsr-53 model.