AI in Sound Modification
Transforming Sound with AI: Innovating the Future of Audio Modification
About This Course
This workshop explores the application of AI in sound modification, equipping participants with the skills to use machine learning and deep learning techniques for audio processing, synthesis, and noise reduction in various industries like music, entertainment, and healthcare.
Aim
The aim of this workshop is to explore the intersection of Artificial Intelligence (AI) and sound modification, equipping participants with the skills and knowledge to apply AI techniques for advanced sound processing, synthesis, and modification in real-world applications.
Workshop Objectives
- Introduce AI and machine learning fundamentals for sound processing.
- Provide hands-on experience with AI-based audio tools.
- Demonstrate AI applications in industries such as music and speech processing.
- Explore ethical and regulatory issues in AI-powered sound technologies.
Workshop Structure
Day 1: Introduction to AI in Sound Modification
- Overview of Sound Waves and AI in Sound Processing
- Basics of Sound Modification: Pitch, Time, Noise Reduction
- AI and Machine Learning in Audio Processing
- Introduction to Google Colab and Jupyter Notebooks
- Hands-On Exercise: Setting Up Colab and Basic Sound Modifications with librosa
Day 2: AI-Based Sound Modification Techniques
- Neural Networks for Audio Processing: Autoencoders, CNNs, GANs
- Advanced Techniques in Sound Synthesis and Noise Reduction
- AI for Audio Classification and Feature Extraction
- Building AI Models for Sound Processing: Practical Applications
- Hands-On Exercise: Training a Neural Network for Audio Classification and Modifying Audio with librosa
Day 3: Advanced Applications and Future Trends in AI Sound Modification
- Real-Time AI-Powered Sound Modification Techniques
- AI in Music Production, Voice Transformation, and Speech Processing
- Ethical Considerations in AI Sound Modification: Deepfakes and Privacy
- Future Trends in AI Sound Applications
- Hands-On Exercise: Real-Time Sound Modification and Creating AI-Generated Audio
Who Should Enrol?
- Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
- Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
- University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
- Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
- Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Important Dates
Registration Ends
01/30/2026
IST 4:30 PM
Workshop Dates
01/30/2026 – 02/01/2026
IST 5:30 PM
Workshop Outcomes
- Implement AI techniques for sound modification and synthesis.
- Use tools like librosa, TensorFlow, and PyTorch for audio processing.
- Apply noise reduction, pitch shifting, and sound synthesis in real-world scenarios.
- Understand the ethical considerations of AI in audio technologies.
Fee Structure
Student
₹1999 | $60
Ph.D. Scholar / Researcher
₹2999 | $70
Academician / Faculty
₹3999 | $80
Industry Professional
₹5999 | $100
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →