Deploy Speech-to-Speech on Hugging Face Inference Endpoints with a Custom Docker Image

AI Impact Summary

Hugging Face's Speech-to-Speech pipeline (VAD → STT → LM → TTS) enables multilingual speech-to-speech at scale, deployable on Inference Endpoints. The recommended path uses a custom Docker image that bundles the speech-to-speech codebase and submodules, giving control over dependencies and startup time but increasing build, maintenance, and access-management complexity. Endpoints require GPU-backed resources and incur ongoing compute costs, with potential cold-start latency affecting user-perceived responsiveness. Proper handling of gated repos and tokens is essential to keep the deployment reproducible and secure.