TECHNICAL WHITE PAPER
Xuannu Language
DAXY Xuannu speech technology solution: an intelligent voice interaction engine for every scenario
64-page full report4 technical pillarsPDF 9.8 MB
01
Voice as the Third Interface
Xuannu Language's one-line positioning is to let machines 'understand human speech, speak with human warmth, and see the context', three phrases corresponding to ultra-high-precision speech recognition with semantic understanding, neural speech synthesis, and multimodal interaction combined with computer vision. The plan judges voice to be the third generation of human-machine interface after the keyboard and the touchscreen, and its penetration to be incremental rather than substitutive: wherever hands are occupied, eyes are occupied, literacy is limited, or interaction distance is constrained, voice is the only natural channel. The competitive focus has shifted from 'can it understand at all' to stable performance in genuinely noisy environments, genuine dialects and accents, and genuine business contexts.
02
Dialect Depth, Efficiency Gap
An average adult speaks naturally at roughly 180-240 Chinese characters per minute, while mobile typing yields only 30-60, a 3-5x efficiency gap. The dialect and accent divide creates service inequality: under accented Mandarin, mixed dialect speech, and interleaved industry jargon, general-purpose models see error rates multiply, shutting elderly and dialect-region users out of intelligent systems. On the cost side, the fully loaded annual cost of one human service agent falls in the 80,000-150,000 yuan range, and one minute of finished voice-over can cost tens to hundreds of yuan under traditional production; neural synthesis pushes marginal cost down to near the cost of compute and compresses delivery cycles from days to minutes.
03
Layered Architecture, Data Loop
The engine adopts a four-layer-plus-one-plane architecture: a compute and data foundation layer, a perception layer, a cognition layer, and an expression and interaction layer, plus a delivery and governance plane running through all layers. The architecture's hidden protagonist is the data loop, 'service as data, data as model, model as service': full-pipeline confidence instrumentation automatically identifies hard samples worth recycling, evaluation sets are bucketed by dialect, noise, and industry terminology, and private-deployment customer data stays in-domain by default. Facing the two technical routes of modular pipelines versus end-to-end models, the strategy is 'interfaces first, dual-track internals': external interfaces are defined by capability semantics while the core maintains both production lines, with customers switching without perceiving it.
04
Maturity Tiers, Three Value Layers
High-precision Mandarin recognition, closed-domain semantic understanding, and high-naturalness synthesis are established technologies covering the critical needs of all scenarios; dialect and accent recognition, emotional and character synthesis, and voice customization are frontier explorations and the main axis of differentiation; multimodal fusion spans frontier exploration to long-range concept. Long-term value has three layers: established technologies underpin cash-flow value, reaching operating breakeven in year three under the neutral case; the dialect and accent corpus appreciates continuously along the data flywheel, forming data and platform value; and the category-defining value of 'voice defines everything' is explicitly a vision and excluded from financial projections.
Xuannu Language · DAXY TECH