Technological Polyphony: Innovation Logic and Path of AIGC in Dialect Publishing
Abstract
Generative artificial intelligence is profoundly reshaping the boundaries and logic of the publishing industry.This research focuses on the application of AIGC in the specific field of dialect publishing, and dialectically explores its “polyphonic” role.On the one hand, AIGC provides a technical engine for the large-scale archiving and innovative product development of endangered dialect audio resources through efficient and low-cost speech synthesis and reproduction capabilities, and acts as an “enabler” to activate cultural heritage and expand publishing boundaries.On the other hand, the inherent standardization tendency, data bias and business logic of technology may also make it a “alienator” of the uniqueness of dialect culture, leading to the “decontextualization” of publishing results and the loss of cultural authenticity.By constructing a “protection-digestion” critical analysis framework, this article aims to provide theoretical reference and practical paths for how the publishing industry can responsibly apply AIGC technology and realize the unity of cultural benefits and commercial value.
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