Add TTSKit with Qwen3-TTS support

.swiftpm/xcode/xcshareddata/xcschemes/whisperkit-Package.xcscheme

@@ -48,6 +48,20 @@
                ReferencedContainer = "container:">
             </BuildableReference>
          </BuildActionEntry>
+         <BuildActionEntry
+            buildForTesting = "YES"
+            buildForRunning = "YES"
+            buildForProfiling = "YES"
+            buildForArchiving = "YES"
+            buildForAnalyzing = "YES">
+            <BuildableReference
+               BuildableIdentifier = "primary"
+               BlueprintIdentifier = "TTSKit"
+               BuildableName = "TTSKit"
+               BlueprintName = "TTSKit"
+               ReferencedContainer = "container:">
+            </BuildableReference>
+         </BuildActionEntry>
       </BuildActionEntries>
    </BuildAction>
    <TestAction

Examples/TTS/SpeakAX/README.md

@@ -0,0 +1,71 @@
+# TTS Example App
+
+SpeakAX is the demo app for TTSKit, an on-device text-to-speech framework powered by Core ML. It runs on macOS and iOS with no server required.
+
+## Requirements
+
+- macOS 15.2 or later.
+- iOS 18.2 or later.
+- Xcode 16.3 or later.
+
+
+## Building & Running
+
+1. Open `Examples/TTS/SpeakAX/SpeakAX.xcodeproj` in Xcode.
+2. Select the **SpeakAX** scheme and your target device.
+3. **Set up signing:** In the project navigator, select the *SpeakAX* target. Go to the **Signing & Capabilities** tab, then:
+   - Choose your Apple Developer Team from the **Team** dropdown.
+   - Make sure a unique bundle identifier is set.
+   - Xcode will automatically handle provisioning; resolve any signing issues if prompted.
+4. Build and run (`Cmd+R`). Dependencies resolve automatically via SPM.
+
+
+On first launch, the app prompts you to download a model. Downloads are cached in your Documents directory and reused across launches.
+
+### Private HuggingFace Repos
+
+If you use a private model fork, set a token in `ViewModel.swift`:
+
+```swift
+let config = TTSKitConfig(model: selectedPreset, token: "hf_...")
+```
+
+## Features
+
+- **Model management.** Download, prewarm, load, and unload models from the sidebar.
+- **Two model sizes.** 0.6B (fast, all platforms) and 1.7B (higher quality, style instructions, macOS only).
+- **Real-time streaming.** Audio starts playing before generation completes.
+- **Adaptive buffering.** The `.auto` strategy measures first-step speed and pre-buffers accordingly.
+- **9 voices.** Ryan, Aiden, Ono Anna, Sohee, Eric, Dylan, Serena, Vivian, Uncle Fu.
+- **10 languages.** English, Chinese, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian.
+- **Style instructions.** Natural-language prosody control (1.7B only).
+- **Generation history.** All outputs saved as M4A with embedded metadata, reconstructed at launch.
+- **Favorites.** Star generations to pin them at the top of the sidebar.
+- **Waveform.** Live visualization that updates during streaming.
+- **Settings.** Temperature, top-K, repetition penalty, max tokens, chunking, compute units.
+- **Copy audio.** One-tap copy of the M4A to clipboard.
+
+## Project Structure
+
+```
+SpeakAX/
+├── SpeakAXApp.swift              entry point
+├── ContentView.swift             root NavigationSplitView
+├── SidebarView.swift             model management + history
+├── DetailView.swift              input form, waveform, playback
+├── ModelManagementView.swift     download / load / unload
+├── GenerationSettingsView.swift  advanced options sheet
+├── ViewModel.swift               @Observable view model
+├── AudioMetadata.swift           Codable metadata embedded in .m4a files
+├── WaveformView.swift            live waveform bar chart
+└── ComputeUnitsView.swift        per-component compute unit picker
+```
+
+Persistence is file-based. Each generation is a self-contained `.m4a` file with all metadata (text, speaker, timings) embedded as JSON in the iTunes comment atom. No database is needed. The history is reconstructed by scanning the Documents directory at launch.
+
+## Tests
+
+Select the **SpeakAXTests** scheme and press `Cmd+U`.
+
+- **Integration tests.** Download a model and run end-to-end generation. These require a network connection and take several minutes on first run.
+- **Unit tests** (`AudioMetadataTests`). Round-trip metadata encoding and decoding, no network needed.