# End-to-end speech processing

A multilingual audio-to-text model based on Llama-3.1-8B-Instruct, supporting processing of over 40 languages

Nepali speech recognition model fine-tuned based on Facebook's wav2vec2 model

A Transformer-based end-to-end speech translation model specifically designed for French-to-English speech translation tasks.

Facebook's Wav2Vec2 XLS-R model for multilingual speech-to-English translation tasks

This model is an XLSR-Wav2Vec2 speech recognition model fine-tuned on the Turkish Common Voice dataset, primarily used for Turkish speech-to-text tasks.

This is a Malayalam speech recognition model based on the Wav2Vec2 architecture, designed to convert Malayalam speech into text.

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

A Nepali speech recognition model based on the Wav2Vec2 architecture, capable of directly converting Nepali speech into text

A Transformer-based end-to-end speech translation model for English-to-Persian speech translation tasks

Facebook's Wav2Vec2 XLS-R model, fine-tuned for speech translation tasks in 15 languages, capable of translating spoken English into multiple written languages.

Facebook's Wav2Vec2 XLS-R model fine-tuned for multilingual speech translation tasks, supporting translation from English to 15 target languages.