CASE STUDY / NATIVE RUNTIME / SPEECH SDK

Cross-platform speech runtime and SDK integration

Native C/C++ runtime work for semvox.vi: embedded ASR/TTS integration, configuration and resource handling, language bindings, Android/Linux/Windows packaging, and diagnostics that make the SDK usable in real products.

  • semvox.vi
  • Native C/C++
  • ASR/TTS
  • Windows
  • Linux
  • Android
  • Java/C# bindings
PUBLIC PROOFsemvox.vi product page
BOUNDARIESEngine / SDK / application
FOCUSLifecycle and compatibility
ROLEImplementation through delivery

Problem

In a product SDK, a feature is not complete when the native function compiles. It has to be represented in configuration, loaded with the correct resources, exposed through a stable API, usable from example applications, packaged for target platforms, and diagnosable when an integrator reports a failure.

The public semvox.vi page describes embedded ASR and TTS for applications, with grammar-based and free-text recognition, dynamic vocabulary support, Windows/Linux/Android support, and SDK availability for C, Java, and C#. That matches the engineering scope: the runtime had to bridge speech engines, native SDK code, platform packaging, bindings, and application-facing examples.

System context

Application examples and customer integrations
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Java / C# / C SDK interfaces
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Native runtime state, callbacks, and configuration
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ASR/TTS engines, language resources, dictionaries, tuning files
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Windows / Linux / Android build and package artifacts

Runtime feature delivery

Implemented and corrected configuration-driven speech flows including language selection, grammar/context loading, resource path resolution, runtime state transitions, parse result handling, events, and long-result behavior. These changes crossed the parameter model, provider configuration, ASR initialization, callbacks, and result processing.

User-word and dynamic vocabulary flows

Handled runtime mode, configuration JSON, dictionaries, orthography, PCM data, parse results, and event ownership so training and recognition behavior were usable through the SDK surface.

Free-text recognition integration

Connected resource paths, language setup, grammar context, state-dependent behavior, and long-result handling so the recognizer was not just compiled in, but operational.

Preflight and diagnostics

Validated required datasets, language resources, voice packages, dictionaries, tuning directories, and path behavior to prevent opaque runtime failures.

Build, package, and platform delivery

Integrated a new Cerence CSDK provider version across GNU Make, Maven, Jenkins-oriented build flows, provider libraries, dynamic loading, third-party resources, Android packaging, C/Java/C# examples, and platform-specific run scripts. This is the practical work that turns native feature code into a product SDK that another team can actually consume.

Also implemented a logging bridge from the vendor engine into the product logging system, mapping log levels and preserving module/function context so integration teams could correlate engine behavior with native runtime state.

Outcome

The work strengthened semvox.vi as a cross-platform embedded speech interface rather than a collection of disconnected native components. It demonstrates senior platform engineering: feature implementation, runtime lifecycle, bindings, packaging, diagnostics, and customer-facing integration all moving together.

Public proof linksemvox.vi product page
PUBLIC-SAFE SUMMARY: Internal source code, customer projects, proprietary build details, and confidential engine integration details are intentionally omitted.