# Omnilingual ASR

## Docs

- [Asset Management](https://mintlify.wiki/facebookresearch/omnilingual-asr/advanced/asset-management.md): Understanding the fairseq2 asset system for models, tokenizers, and datasets
- [Batch Processing](https://mintlify.wiki/facebookresearch/omnilingual-asr/advanced/batch-processing.md): Advanced batching strategies, memory optimization, and parallel processing techniques
- [Custom Datasets](https://mintlify.wiki/facebookresearch/omnilingual-asr/advanced/custom-datasets.md): Creating custom parquet datasets and integrating them with Omnilingual ASR training
- [Language Conditioning](https://mintlify.wiki/facebookresearch/omnilingual-asr/advanced/language-conditioning.md): Using language IDs to improve transcription quality with LLM-based models
- [Audio Input Formats](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/audio-input.md): Supported audio input formats for Omnilingual ASR
- [ContextExample](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/context-examples.md): Context example for zero-shot transcription
- [Data Readers](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/data-readers.md): Storage and task interfaces for ASR data pipelines
- [ASRInferencePipeline](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/inference-pipeline.md): High-level inference pipeline for audio transcription
- [MixtureParquetAsrDataset](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/mixture-parquet-dataset.md): Parquet-based ASR dataset with multilingual mixture weighting
- [Model Configurations](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/model-configs.md): Configuration classes for Wav2Vec2-Llama models
- [Wav2Vec2LlamaModel](https://mintlify.wiki/facebookresearch/omnilingual-asr/api/wav2vec2-llama.md): Wav2Vec2 encoder with Llama decoder for ASR
- [Data Preparation](https://mintlify.wiki/facebookresearch/omnilingual-asr/guides/data-preparation.md): Prepare multilingual speech datasets for training and evaluation
- [Inference Guide](https://mintlify.wiki/facebookresearch/omnilingual-asr/guides/inference.md): Complete guide to running inference with Omnilingual ASR models
- [Model Architectures](https://mintlify.wiki/facebookresearch/omnilingual-asr/guides/model-architectures.md): Deep dive into Wav2Vec2, CTC, and LLM model architectures
- [Training Guide](https://mintlify.wiki/facebookresearch/omnilingual-asr/guides/training.md): Learn how to train and fine-tune Omnilingual ASR models
- [Installation](https://mintlify.wiki/facebookresearch/omnilingual-asr/installation.md): Install Omnilingual ASR and set up your environment
- [Introduction](https://mintlify.wiki/facebookresearch/omnilingual-asr/introduction.md): Open-source multilingual speech recognition for 1600+ languages
- [CTC Models](https://mintlify.wiki/facebookresearch/omnilingual-asr/models/ctc-models.md): Fast parallel speech recognition with CTC-based models
- [LLM-Based ASR Models](https://mintlify.wiki/facebookresearch/omnilingual-asr/models/llm-models.md): Autoregressive speech recognition with language conditioning and unlimited length support
- [Model Specifications](https://mintlify.wiki/facebookresearch/omnilingual-asr/models/model-specifications.md): Comprehensive comparison of all Omnilingual ASR models
- [Zero-Shot Model](https://mintlify.wiki/facebookresearch/omnilingual-asr/models/zero-shot.md): In-context learning for new languages with audio-text example pairs
- [Quick Start](https://mintlify.wiki/facebookresearch/omnilingual-asr/quickstart.md): Get started with Omnilingual ASR in minutes
- [Supported Languages](https://mintlify.wiki/facebookresearch/omnilingual-asr/supported-languages.md): Comprehensive guide to 1600+ supported languages and language ID format