Communication Voice Iterative Upgrade Solution

📅Apr 8, 2026

Brief：Voice translation and interpretation capabilities support offline deployment, version management, and post-training iteration, continuously improving the recognition/translation accuracy of accents and proprietary terms in the civil aviation domain. (1) Offline technology stack: ASR adopts the FunASR training/fine-tuning toolchain, with inference using sherpa-onnx (ONNX Runtime) for offline inference; NMT adopts the CTranslate2 offline translation engine (capable of loading Marian/OPUS-MT or NLLB series models). Model files are stored locally without calling external APIs. (2) Iteration loop: sample collection (authorized by the client, desensitized/annotated) → intranet GPU training/fine-tuning → export ONNX/inference models → canary release (A/B validation)

Voice translation and interpretation capabilities support offline deployment, version management, and post-training iteration, continuously improving the recognition/translation accuracy of accents and proprietary terms in the civil aviation domain.

(1) Offline technology stack: ASR adopts the FunASR training/fine-tuning toolchain, with inference using sherpa-onnx (ONNX Runtime) for offline inference; NMT adopts the CTranslate2 offline translation engine (capable of loading Marian/OPUS-MT or NLLB series models). Model files are stored locally without calling external APIs.

(2) Iteration loop: sample collection (authorized by the client, desensitized/annotated) → intranet GPU training/fine-tuning → export ONNX/inference models → canary release (A/B validation) → rollback mechanism; the entire process stays within the intranet.

(3) Domain optimization: supports hot words, proprietary vocabulary lists, terminology databases, and custom dictionaries for rapid activation; model versions are released quarterly/on demand, with training records and performance evaluation reports retained.

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