# Speech-to-text

Amharic speech recognition model fine-tuned from openai/whisper-small, achieving a word error rate of 2.0538% on the evaluation set

This model is a Russian automatic speech recognition (ASR) model fine-tuned on the common_voice_17_0 dataset based on facebook/wav2vec2-xls-r-300m, with a word error rate (WER) of 0.195.

A Sinhala speech recognition model fine-tuned based on OpenAI Whisper-small

A Hindi-Hinglish mixed speech recognition model optimized based on the Whisper architecture, specifically designed for Indian accents and noisy environments

Based on the transformers library, this is a fine-tuned version of openai/whisper-large-v3-turbo on the common_voice_11_0 dataset, optimized specifically for Arabic speech recognition.

This model is a conversion from the GGML format of distil-whisper/distil-large-v3-ggml to Ratchet's custom format, primarily used for speech recognition tasks.

A language detection model fine-tuned based on openai/whisper-small, achieving 96.47% accuracy on the evaluation set

A speech recognition model fine-tuned on the Common Voice 16.0 dataset based on OpenAI Whisper Large V3

A speech recognition model fine-tuned on the Common Voice 13.0 Spanish dataset based on OpenAI Whisper-large-v2

An automatic speech recognition model from Facebook's Massively Multilingual Speech project, supporting 1107 languages, based on Wav2Vec2 architecture with adapter technology for multilingual transcription.

This is the CTranslate2 converted version of the OpenAI Whisper-tiny model, used for efficient speech recognition tasks.

This is a fine-tuned version of the OpenAI Whisper Large V2 model for Malayalam speech recognition tasks, trained using the Common Voice 11.0 dataset

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the common_voice_9_0 dataset, supporting Bengali.

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset, primarily designed for Russian speech recognition tasks.

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset, primarily used for Tamil speech recognition tasks.

This model is a fine-tuned Arabic speech recognition model based on facebook/wav2vec2-large-xlsr-53 on the Common Voice dataset

This is a Turkish speech recognition model based on the wav2vec2 architecture, fine-tuned on the common_voice dataset

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

A German dialect speech recognition model fine-tuned from facebook/wav2vec2-base-960h, supporting Vorarlberg regional dialect recognition in Austria

A fine-tuned automatic speech recognition model based on facebook/wav2vec2-base on the MIR_ST500 dataset

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset, specializing in Scottish accent speech recognition.

A speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-xls-r-300m, supporting multiple accent recognition

This model is an automatic speech recognition (ASR) model fine-tuned on the COMMON_VOICE - TR Turkish dataset based on facebook/wav2vec2-xls-r-100m.

This is an automatic speech recognition model fine-tuned on the Abkhazian language dataset based on the XLS-R dummy model

Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-large-xlsr-129

This is a Wav2vec2 model optimized for Brazilian Portuguese, trained on multiple open datasets for automatic speech recognition tasks.

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

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice dataset, supporting Guarani speech recognition.

This is a speech recognition model fine-tuned on the Yakut (Sakha) language dataset based on the facebook/wav2vec2-xls-r-300m model

This model is a fine-tuned Tamil speech recognition model based on facebook/wav2vec2-xls-r-300m on the Common Voice dataset.

This model is a fine-tuned automatic speech recognition model for Breton based on facebook/wav2vec2-xls-r-1b.

This is a speech recognition model fine-tuned on the Common Voice Turkish dataset based on the facebook/wav2vec2-xls-r-300m model

A speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m

A speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m

Hausa automatic speech recognition model based on wav2vec2-xls-r-300m architecture, fine-tuned on Common Voice 8.0 Hausa dataset