澳门沙金在线平台(App Store-VIP认证)-Branding Company

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: Intelligent Speech Recognition Technology, Deep Learning Application Development

Project Products: Online Voice Recognition Based on AI API, Voice Recognition and Control Based on LD3320 Chip, Chinese Speech Synthesis Based on Deep Learning, Chinese Speech Recognition Based on CNN and CTC, Voice Assistant Based on Raspberry Pi, Real-time Sound Source Direction Estimation Based on Microphone Array, Speech Signal Feature Extraction

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.