# Danish speech recognition

This is Denmark's most advanced speech recognition model, trained by Alvenir as part of the CoRal project, based on the CoRal-v2 dataset, covering various Danish dialects.

Denmark's state-of-the-art speech recognition model trained by Alvenir, based on the CoRal-v2 dataset, supporting multiple Danish dialects

Currently the fastest Danish ASR model, a distilled version of hviske-v2, achieving approximately 4x speed improvement while maintaining the same accuracy.

A Danish automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper Medium, trained on Common Voice 11 and FLEURS datasets

This model is a Danish speech recognition model fine-tuned by Siyam/SKYLy on the common_voice dataset

Danish speech recognition model fine-tuned on the NST dataset, supporting 16kHz sampled audio input

A Danish automatic speech recognition model fine-tuned on Danish parliamentary speech dataset based on facebook/wav2vec2-xls-r-300m

A speech model based on Facebook's Wav2Vec2 architecture, specifically pre-trained for Danish using 13.6k unlabeled data from the VoxPopuli corpus.

A Danish speech recognition model fine-tuned based on Alvenir/wav2vec2-base-da, suitable for Danish speech-to-text tasks

A speech recognition model fine-tuned on the Danish portion of Common Voice 8.0 based on a Swedish acoustic model

A speech recognition model fine-tuned on Common Voice 8.0 Danish data based on facebook/wav2vec2-xls-r-300m

A Danish acoustic model fine-tuned on the Danish portion of Common Voice 8.0 data for speech recognition