Objectives:
- The main objective of the Seasonal school is to provide a platform to create awareness on recent developments in Signal Processing and its applications to the latest technological developments using machine learning techniques.
- To allow the participants a wide scope of opportunities in research and career , a well-curated course covering the recent advances and latest techniques, novel and innovative applications are also included in the lectures’ agenda.
- Foster membership development among young researchers with interests in signal processing and its applications.
Target audience:
- SPS members, Academic faculty, Persons from Industry, Research scholars, practitioners, PG students who have a strong focus on Signal processing.
About the program:
- This Seasonal school provides a platform for the participants to create awareness on recent developments in Signal Processing and its applications to the latest technological developments. The school offers lectures, hands-on sessions, interactive sessions and industry visit that provide knowledge and give participants the chance to exchange about their own ideas.
Structure of the Program:
The school offers lectures, simulation studies and interactive sessions that provide knowledge and give participants the chance to exchange about their own ideas.
Resource Persons: From IITs/IIITs/NITs/Organizations of High Repute.
Venue: Matrusri Engineering College, Hyderabad, Telangana State, India.
Theme: Enhancing Human-Machine Interaction (Cycle 1)
Join us for a three-day intensive program exploring the cutting-edge realm of speech and audio processing. This school bridges the gap between theoretical foundations and practical, state-of-the-art applications in Human-Machine Interaction (HMI).
📅 Event Details
- Dates: June 10th – June 12th, 2026
- Location: Matrusri Engineering College (ECE Dept.)
- Convener: I. Sharath Chandra (Associate Professor, Senior Member of IEEE, & IEEE MECS SPS Student Branch Advisor)
- Contact: mecsieeespsseasonalschool@gmail.com
📝 Registration
Deadline: May 31st, 2026
👉 Register Here
Registration Fees (INR)
| Category |
Early Bird (Until May 20) |
Regular (Until May 31) |
| IEEE SPS Member |
600 |
750 |
| IEEE Student Member |
200 |
400 |
| IEEE Member (Professional) |
800 |
1000 |
| Non-IEEE Student |
400 |
600 |
| Non-Member (General) |
1000 |
1500 |
🎓 About the Program
This Seasonal School is designed to equip participants with the skills necessary to develop innovative speech-based solutions.
Key Learning Objectives:
- Hands-on Experience: Work with deep learning architectures and feature extraction techniques.
- Comprehensive Curriculum: Covers end-to-end speech recognition, synthesis, and audio signal processing.
- Future-Ready Topics: Explore emerging trends like Multimodal Learning and Explainable AI.
📘 Curriculum & Topics
Day 1: Foundations & Speech Processing
- Introduction to Signals: Digital representation and signal processing fundamentals.
- Feature Extraction: Deep dive into MFCCs, PLP, and relevant audio features.
- Speech Recognition: Comparing HMM-based vs. DNN-based systems.
Day 2: Advanced Speech & Audio Analysis
- Speaker Recognition: Modern techniques for verification and identification.
- Text-to-Speech (TTS): Traditional synthesis vs. neural-based methods and metrics.
- Audio Processing: Time-frequency analysis and advanced feature sets.
Day 3: HMI & Emerging Trends
- Applications: Virtual assistants, smart homes, and automotive systems.
- Ethics & Challenges: Navigating noise robustness, multilingualism, and privacy.
- The Future: Deep learning advancements and industry perspectives.
💡 Important Information
- Catering: A working Indian lunch will be provided to all participants daily.
- Accommodation: No on-site accommodation is provided. However, upon request, we can assist in finding nearby lodging (at the participant’s own cost).
- Brochure: [Download/View Full Event Brochure Here]
Coordinators:
- Dr. I. Sharath Chandra,
Assoc. Professor, ECE,
Matrusri Engineering College.
Mobile:9885391926
- Dr. K. Manohar,
Assistant Professor, ECE,
Matrusri Engineering College.
Mobile:9010858595
