Hyperion

Getting started

  • Getting Started
  • Speaker Verification Quickstart
  • Optional Dependencies, External Assets, and TPM

Concepts

  • Repository Architecture
  • Hyperion Data Model
  • Glossary

How-to guides

  • Train an X-Vector Directly from Waveforms
  • Extract, Score, and Evaluate X-Vectors
  • Prepare Dataset Metadata and VAD
  • Submitting recipe jobs
  • Run Resumable, Mixed-Precision, and Distributed Training
  • Train a Pretrained Wav2Vec2 X-Vector
  • Use Configuration Files
  • Save and Load Models and Backends

Documentation and maintenance

  • Building the Documentation
  • Documentation Policy
  • Contributor Extension Guide
  • Model Extension Contracts
  • PyTorch Extension Workflows
  • Data-Preparation and CLI Extension Workflows
  • Contributor Validation and Documentation Requirements
  • Deprecation and Compatibility Policy
  • Release Notes
  • Tutorial Quality Inventory
  • Public Surface Inventory
  • API Contract Coverage

Package reference

  • PyTorch Stack
  • PyTorch API Overview
  • PyTorch API Contracts
  • PyTorch Extension Points
  • PyTorch Layers and Architecture Catalog
  • PyTorch Training Support
  • PyTorch Integrations and Robustness
  • Experimental Components
  • NumPy Backend API
  • NumPy Backend Extension Points
  • Metrics and Evaluation API
  • Input and Output API
  • Utility Layer
  • Foundation API Contracts
  • Statistical, Evaluation, and Preparation API Contracts
  • Working With Info Tables
  • Working With HyperDataset
  • Working With Trial Tables
  • Data Preparation API
  • Text Normalization API
  • Command-Line Interface
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