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WAAPI Text-to-Speech

Wwise

A Python script that integrates with Wwise via WAAPI to generate WAV files from text-to-speech. It reads text from Sound Voice object notes and uses Windows PowerShell text-to-speech to generate audio files, then automatically imports them into the Wwise project. The tool works as a Wwise external editor, allowing sound designers to right-click Sound Voice objects and generate placeholder VO without leaving the authoring environment. It demonstrates WAAPI usage for retrieving selected objects and importing audio files programmatically. Note: originally created by decasteljau (Audiokinetic). The standalone waapi-text-to-speech repository has been archived, with its functionality consolidated into the actively maintained ak-brodrigue/waapi-python-tools collection.

barelyMusician

Unity · Godot · Engine-agnostic

barelyMusician is a real-time music engine designed for interactive systems that generates and performs musical sounds programmatically with sample-accurate timing. It provides a modern C/C++ API for creating instruments, performers, and musical tasks that can be sequenced and synchronized precisely. The engine supports procedural note control, tempo management, looping performers, and task-based event scheduling. It processes audio synchronously and is designed for integration into real-time audio applications where predictable timing and low latency are critical. The project includes native plugins for Unity and Godot, a VST instrument plugin, and builds for multiple platforms including Windows, macOS, Linux, Android, WebAssembly, and embedded hardware (Daisy). It offers an alternative to asset-based approaches when you need fully generative or algorithmically controlled musical content.

Omnitone

Standalone

Omnitone is a Web Audio API implementation of ambisonic decoding and binaural rendering. It supports first-order (4-channel) and higher-order ambisonic streams (2nd and 3rd order, up to 16 channels). The library uses native Web Audio nodes for performance-critical processing, ensuring efficient CPU usage. The implementation follows the Google spatial media specification and uses SADIE binaural filters for rendering. It accepts input from HTML media elements or multichannel AudioBufferSourceNodes, with support for dynamic rotation matrices to orient the sound field in response to user interaction or sensor data. Omnitone powers the Resonance Audio SDK for web and provides both ambisonic and bypass rendering modes. The library is designed for browser-based spatial audio applications, VR experiences, and 360-degree video playback. Note: the last release (v1.3.0) was in January 2019, so the project is effectively dormant.

Raveler

Wwise

Raveler is a Wwise plugin that runs RAVE (Realtime Audio Variational autoEncoder) models for real-time timbre transfer via neural audio synthesis in game audio contexts. The plugin provides direct integration of trained RAVE models into Wwise effect chains, enabling neural processing of game audio with adjustable latent space manipulation. The plugin exposes controls for model performance parameters including latent noise injection, prior sampling, and dry/wet mixing. It offers direct manipulation of up to 8 latent dimensions with bias and scaling controls, all of which can be bound to RTPCs for dynamic runtime control. Buffer settings allow balancing between audio quality and latency based on project requirements. Based on the RAVE VST project, Raveler brings research-grade neural audio synthesis techniques into production game audio workflows through Wwise's standard plugin architecture. Note: the core is released under CC BY-NC 4.0 (non-commercial), which restricts use in commercial products.