Workshop in Audio Signal Processing In Python

#signalprocessingsociety #sps #introduction #speech #communication #python

The Department of Electronics and Communication Engineering, Rajkiya Engineering College Kannauj, organized a hands-on workshop on "Audio Signal Processing in Python" on 5th December 2024. The session was conducted by Mr. Ashwini Kumar Upadhyay, a seasoned expert in Python-based signal processing, who shared in-depth knowledge and practical techniques for working with audio signals.

The workshop introduced participants to the fundamental concepts of audio signal processing, emphasizing Python's versatility in handling complex signal operations. Key topics covered included:

• Basics of audio signals and their digital representation.
• Python libraries for signal processing (e.g., NumPy, SciPy, and LibROSA).
• Techniques for filtering, analyzing, and transforming audio signals.
• Applications in speech processing, noise reduction, and feature extraction.

Mr. Upadhyay demonstrated real-time implementation of these techniques using Python scripts, enabling attendees to visualize and manipulate audio data interactively. Participants were also guided through practical exercises to process audio samples, apply filters, and extract meaningful features for various applications like speech recognition and music analysis.

The workshop concluded with a Q&A session, where participants sought insights on advanced topics and potential research directions in audio signal processing. Attendees left with enhanced skills in leveraging Python for audio signal processing, paving the way for innovative applications in multimedia and communication domains.

• Date: 28 Nov 2024
• Time: 08:00 AM UTC to 10:00 AM UTC
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• Rajkiya Engineering College, Kannauj
• Tirwaganj, Aher village
• Kannauj, Uttar Pradesh
• India 209732
• Building: Academic Block - Conference Hall
• Room Number: 208

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• Contact Event Host

• princekumar@ieee.org

  singhaman@ieee.org

   

Organized by Rajkiya Engineering College Kannauj
Date: 5th December 2024

1. Welcome Address

   • Introduction to the workshop and objectives.

2. Session 1: Introduction to Audio Signal Processing

   • Basics of audio signals and their digital representation.
   • Overview of Python libraries for audio signal processing.

3. Session 2: Practical Techniques in Audio Signal Processing

   • Filtering and noise reduction methods.
   • Feature extraction and speech processing techniques.

4. Session 3: Hands-on Exercise

   • Real-time implementation of audio processing tasks using Python.

5. Q&A Session

   • Clarification of doubts and discussion on advanced topics.

6. Closing Remarks and Vote of Thanks

This workshop provided valuable hands-on experience in audio signal processing using Python, equipping participants with practical skills for innovative applications in the field of signal processing and multimedia.