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
Feature
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.