# Swedish speech recognition

A Whisper model released by the National Library of Sweden, optimized for Swedish speech recognition, significantly reducing the error rate compared to the original OpenAI version.

Whisper model released by the Swedish National Library, optimized for Swedish, trained on 50,000+ hours of Swedish speech data, outperforming the original OpenAI version

A Whisper model trained on over 50,000 hours of Swedish speech data released by the National Library of Sweden, excelling in Swedish speech recognition tasks

A Swedish speech recognition model based on the Whisper architecture released by the National Library of Sweden. The training data exceeds 50,000 hours, significantly reducing the word error rate.

This is a Swedish automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-nl-voxpopuli model, trained using the Common Voice 7.0 (sv-SE) dataset.

A Swedish automatic speech recognition model fine-tuned from microsoft/wavlm-large, suitable for 16kHz sampled audio input.

This is a model for Swedish automatic speech recognition (ASR), combining the VoxRex-C acoustic model with a 4-gram language model based on social media data.

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

This is an automatic speech recognition model fine-tuned on the Swedish Common Voice 7.0 dataset based on facebook/wav2vec2-xls-r-300m

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.

A Wav2Vec2 base model pretrained on the Swedish subset of the VoxPopuli corpus, suitable for Swedish speech recognition tasks.

A speech model based on Facebook's Wav2Vec2 architecture, specifically pre-trained for Swedish using 16.3k hours of unlabeled data from the VoxPopuli corpus.

This model is a Swedish automatic speech recognition model fine-tuned on the COMMON_VOICE - SV-SE dataset based on facebook/wav2vec2-large-xlsr-53.

This is an automatic speech recognition model fine-tuned on the Swedish Common Voice dataset based on KBLab/wav2vec2-large-voxrex

This model is a speech recognition model fine-tuned on the Common Voice Swedish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate (WER) of 1.0286 on the evaluation set.

This is a Swedish automatic speech recognition model based on the XLSR-53 architecture, fine-tuned on the Common Voice dataset.

Automatic speech recognition model fine-tuned on Swedish dataset based on facebook/wav2vec2-xls-r-300m

This is a speech recognition model fine-tuned on the Swedish Common Voice dataset based on the facebook/wav2vec2-large-xlsr-53 model, with a training data volume of 402MB.

A Swedish automatic speech recognition model fine-tuned based on the VoxRex large model, supporting 16kHz sampling rate audio input

A Swedish automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-xlsr-53 framework, supporting 16kHz sampled audio input

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

A Swedish speech recognition model fine-tuned using NST and Common Voice data, based on Facebook's VoxPopuli-sv base model.

This model is based on Facebook's VoxPopuli-sv large model, additionally pre-trained and fine-tuned using Swedish radio programs, NST, and Common Voice data.