Speech Recognition and Processing
Speech Recognition and Processing is a intermediate-level, 4 Weeks online course by NSTC. Master key concepts and practical skills in Science & Technology through hands-on projects, real-world case studies, and expert mentorship.
- ModeOnline (e-LMS)
- LevelIntermediate
- Duration4 Weeks
- Fee₹5,499
| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Intermediate |
| Duration | 4 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹5499 / $82 |
| Tools | Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases |
About the Speech Recognition and Processing Course
This program covers key concepts in speech signal processing, Automatic Speech Recognition (ASR), and natural language understanding.
Participants will explore deep learning models like RNNs and CNNs for speech recognition, voice command systems, and speech synthesis. Additionally, the course includes practical sessions on implementing ASR systems using Python-based libraries.
Program Highlights
• Comprehensive coverage of Speech Recognition and Processing from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology
Course Curriculum
Module 1: Introduction to Speech Recognition and Processing
- Overview and historical evolution of Speech Recognition and Processing
- Key terminology, definitions, and core concepts in Science & Technology
- Current industry landscape, trends, and career opportunities
- Setting up the learning environment and essential tools
Module 2: Fundamentals and Theoretical Foundations
- Core principles and scientific/theoretical underpinnings of Speech Recognition and Processing
- Mathematical and analytical frameworks relevant to Science & Technology
- Comparative analysis of major approaches and methodologies
- Understanding key standards, guidelines, and best practices
Module 3: Advanced Topics and Emerging Trends in Science & Technology
- Cutting-edge research and innovations in Speech Recognition and Processing
- Integration with AI, automation, and modern technologies
- Industry case studies and real-world problem solving
- Future directions and career pathways in Science & Technology
Module 4: Capstone Project and Assessment
- End-to-end project implementation using Speech Recognition and Processing skills
- Peer review, collaborative exercises, and expert feedback
- Portfolio-ready project documentation and presentation
- Final assessment and course completion evaluation
