Add missing files for swift package manager

[csukuangfj]

Summary by CodeRabbit

• New Features
  • Added a Swift interface for speech recognition, including online and offline transcription.
  • Added support for voice activity detection, text-to-speech, language identification, keyword spotting, punctuation, speaker diarization, and speaker embeddings.
  • Added speech denoising and source separation capabilities.
  • Added audio loading, processing, and saving utilities.
  • Added access to library and runtime version information.

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Review failed

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ℹ️ Recent review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro Plus

Run ID: 526a7b76-fe54-4ce7-8c26-817c24700096

📥 Commits

Reviewing files that changed from the base of the PR and between 88bbc82 and 821a465.

📒 Files selected for processing (2)

• swift-api-examples/SherpaOnnx-Bridging-Header.h
• swift-api-examples/SherpaOnnx.swift

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📝 Walkthrough

Walkthrough

Adds a Swift bridging header and a comprehensive Swift wrapper over Sherpa-ONNX C APIs, covering ASR, VAD, TTS, speech analysis, denoising, audio handling, source separation, and library metadata.

Changes

Swift API expansion

Layer / File(s)	Summary
Bridging and ASR configuration swift-api-examples/SherpaOnnx-Bridging-Header.h, swift-api-examples/SherpaOnnx.swift	Adds C API bridging and Swift builders for online and offline ASR configurations.
ASR and voice activity runtime swift-api-examples/SherpaOnnx.swift	Adds streaming and offline recognizers, result wrappers, VAD support, circular buffers, and speech segments.
Offline TTS and callback bridge swift-api-examples/SherpaOnnx.swift	Adds TTS model configuration, audio wrappers, generation settings, callbacks, and generation methods.
Speech analysis and enhancement utilities swift-api-examples/SherpaOnnx.swift	Adds language identification, keyword spotting, punctuation, diarization, speaker embeddings, denoising, and version accessors.
Source separation audio model swift-api-examples/SherpaOnnx.swift	Adds multi-channel audio data, source-separation configuration, stem processing, and C resource cleanup.

Estimated code review effort: 5 (Critical) | ~120 minutes

Sequence Diagram(s)

sequenceDiagram
  participant SwiftClient
  participant SherpaOnnxRecognizer
  participant SherpaOnnxOnlineRecognitionResult
  SwiftClient->>SherpaOnnxRecognizer: acceptWaveform(samples)
  SwiftClient->>SherpaOnnxRecognizer: decode()
  SherpaOnnxRecognizer-->>SherpaOnnxOnlineRecognitionResult: getResult()
  SherpaOnnxOnlineRecognitionResult-->>SwiftClient: text, tokens, timestamps

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Possibly related PRs

• k2-fsa/sherpa-onnx#3822: Updates iOS SwiftPM wiring around the bridging header and Swift wrapper introduced here.
• k2-fsa/sherpa-onnx#3823: Directly overlaps with the bridging header and SherpaOnnx.swift API setup.
• k2-fsa/sherpa-onnx#2493: Modifies the same Swift recognition wrappers and C-backed result handling.

Suggested labels: size:XL

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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