Computer Vision and Speech Processing at Scale
Computer Vision and Speech Processing at Scale Building computer vision and speech systems at scale means more than bigger models. It requires clean data, stable tools, and predictable performance across devices and users. When vision and speech share a common workflow, teams can deliver features like searchable video, live captions, and voice-enabled images. The aim is end-to-end reliability as data grows. Data pipelines fuel scale. Start with labeled data for vision tasks and for speech tasks. Use a data lake with raw media, transcripts, and labels, plus strong versioning and privacy controls. Add automated quality checks, human review, and feedback loops so labels stay accurate. Include synthetic data to cover rare cases and test edge conditions while keeping labeling costs reasonable. ...