Skip to content

fix(itn): link the bundled NeMo engine directly instead of dlopen(nil) discovery #867

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Alex-Wengg merged 1 commit into from
Aug 19, 2026
+75 −393
Merged

fix(itn): link the bundled NeMo engine directly instead of dlopen(nil) discovery #867

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 5 additions & 14 deletions Documentation/ASR/PostProcessing.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ TN converts written-form text to spoken form — useful for TTS preprocessing:

## Using with FluidAudio

FluidAudio includes optional support for text-processing-rs through the `TextNormalizer` class. The library uses dynamic loading, so it's completely optional — if not linked, `normalize()` returns the input unchanged.
FluidAudio supports text-processing-rs through the `TextNormalizer` class. The native engine ships with the package as the `NemoTextProcessing` binary target and is linked directly — no setup required, it works out of the box for every SwiftPM consumer.

### ITN (Spoken to Written)

Expand All @@ -39,14 +39,11 @@ import FluidAudio

let normalizer = TextNormalizer.shared

// Check if native library is available
if normalizer.isNativeAvailable {
print("ITN version: \(normalizer.version ?? "unknown")")
}
print("ITN version: \(normalizer.version ?? "unknown")")

// Normalize spoken-form text
let result = normalizer.normalize("two hundred dollars")
// Returns "$200" (with native library) or "two hundred dollars" (without)
// Returns "$200"
```

### TN (Written to Spoken)
Expand All @@ -71,12 +68,6 @@ let normalizedResult = normalizer.normalize(result: asrResult)
print(normalizedResult.text) // Written form
```

### Linking the Native Library
### Native Library

To enable text processing support, link your app against `libnemo_text_processing`:

1. Build text-processing-rs for your target platform
2. Add the library to your Xcode project's linker settings
3. `TextNormalizer.isNativeAvailable` will return `true`

See the [text-processing-rs README](https://github.com/FluidInference/text-processing-rs) for build instructions.
The engine is bundled: `Package.swift` declares a `NemoTextProcessing` binary target (a prebuilt xcframework from [text-processing-rs](https://github.com/FluidInference/text-processing-rs) releases) that SwiftPM downloads and links automatically. `TextNormalizer.isNativeAvailable` always returns `true`; it is kept only for source compatibility with releases ≤ 0.15.6, which resolved the library at runtime and silently returned input unchanged when it was absent.
Loading
Loading