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Introduction

The lab covers voice recognition applications based on hardware, APIs, and artificial intelligence models, providing detailed algorithm analysis and usage for original understanding, emphasizing hands-on practice to help students master relevant knowledge and skills.

Corporate Positions: Data Collection and Labeling Engineer, AI Training Engineer, AI Application Development Engineer

Applicable Majors: Artificial Intelligence Engineering Technology/Computer-related majors

Course Products: professional core course and professional extension course in the direction of intelligent speech training

Project Products: a number of projects with intelligent speech training as the practical training goal, such as speech recognition, control, synthesis and other technologies

Intelligent Hardware: LD3320 Chip, Edge Processor, USB Speaker, Microphone Array, Touch Screen, etc.

Applicable Scenes: Professional Teaching, Integrated Training, Competition Training

Integration of Theory and Practice

With a complete and proven course resource

Including various granularity of experimental resources

Including training project resources from enterprises

Industrialization and Scenario-based Training Projects

The practical project covers almost all the expression, understanding, pattern (feature), and learning knowledge of digital voice signals, as well as provides an industrial-level understanding of typical applications and corresponding training scenarios, such as cloud, edge, and terminal.