# Finnish speech recognition

This model is a Finnish speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m on a general speech dataset.

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 model fine-tuned from facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input.

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

Finnish speech recognition model fine-tuned based on XLSR-53 large model, supports 16kHz audio input

A Finnish automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input

Finnish automatic speech recognition (ASR) model fine-tuned based on Facebook's wav2vec2-xls-r-300m, trained with 275.6 hours of Finnish data, supports decoding with KenLM language model

A speech model based on Facebook's Wav2Vec2 architecture, specifically pre-trained for Finnish, suitable for speech recognition tasks.

This is an automatic speech recognition model fine-tuned on Finnish based on facebook/wav2vec2-large-xlsr-53, trained using the Common Voice dataset.

An acoustic model fine-tuned for Finnish automatic speech recognition based on facebook/wav2vec2-xls-r-300m, trained with 275.6 hours of annotated Finnish speech data

An automatic speech recognition model based on Facebook's Wav2Vec2 base model, pre-trained on a 10K unlabeled subset of the VoxPopuli corpus and fine-tuned on Finnish transcription data.

This is an automatic speech recognition model fine-tuned on Finnish based on facebook/wav2vec2-large-xlsr-53, but has been marked as an old model, and it is recommended to use newer alternatives.

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

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