omnilingual asr

We have hosted the application omnilingual asr in order to run this application in our online workstations with Wine or directly.

Quick description about omnilingual asr:

Omnilingual-ASR is a research codebase exploring automatic speech recognition that generalizes across a very large number of languages using shared modeling and training recipes. It focuses on leveraging self-supervised audio pretraining and scalable fine-tuning so low-resource languages can benefit from high-resource data. The project provides data preparation pipelines, training scripts, decoding utilities, and evaluation tools so researchers can reproduce results and extend to new language sets. It emphasizes modularity: acoustic modeling, language modeling, tokenization, and decoding are separable pieces you can swap or ablate. The repo is aimed at pushing practical multilingual ASR�robust to accents, code-switching, and domain shifts�rather than language-by-language systems. For practitioners, it�s a starting point to study transfer, zero-shot behavior, and trade-offs between model size, compute cost, and coverage.

Features:

• End-to-end training recipes with self-supervised pretraining and multilingual fine-tuning
• Data prep scripts for large, heterogeneous corpora and multilingual tokenization
• Decoding pipelines with configurable beam search and language model fusion
• Evaluation utilities covering WER/CER and language-wise breakdowns
• Modular components to swap acoustic models, tokenizers, or decoders
• Support for distributed training to scale experiments on modern accelerators

Programming Language: Python.
Categories: