Spectrogram Courses and Certifications

Valerio Velardo - The Sound of AI

Short-Time Fourier Transform Explained Easily

Explore the Short-Time Fourier Transform's theory and applications in AI audio processing, including spectrogram extraction for deep learning models, explained visually and intuitively.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Coursera

Debug Audio Models: Performance and Root Cause

Master systematic debugging of audio model failures using quantitative metrics, qualitative analysis, and visualization tools to identify root causes and improve production performance.

• Coursera
• 2 hours 1 minute
• On-Demand
• Paid Course

USENIX

SLNet - A Spectrogram Learning Neural Network for Deep Wireless Sensing

Innovative deep learning approach for wireless sensing, combining spectrogram generation and learning to enhance accuracy in various applications like gesture recognition and fall detection.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

Sebastian Lague

Coding Adventure - Analyzing Audio with Short-Time Fourier Transform

Dive into audio analysis using the Short-Time Fourier Transform to create spectrograms, manipulate sound frequencies, and even hide secret messages in audio through hands-on coding experiments.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Sound Generation with Deep Learning - Approaches and Challenges

Explore deep learning approaches for sound generation, including raw audio and spectrogram methods. Learn about challenges, architectures, and inputs used in creating AI-generated audio.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Understanding Audio Data for Deep Learning

Explore fundamental audio processing concepts for deep learning, including waveforms, pitch, Fourier transform, and MFCCs, essential for AI applications in sound analysis.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Steve Brunton

Fast Fourier Transforms and Audio

Explore Fast Fourier Transforms and their application in audio processing, covering theory, implementation in MATLAB, and practical examples like noise filtering and spectrograms.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Tagging Audio Using Deep Learning

Learn to use deep learning for audio tagging, converting sounds to images and building a classifier model to categorize songs by mood. Includes hands-on demo and practical insights.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Hubble Space Telescope

Active Luminous Blue Variables in the Large Magellanic Cloud

Explore the enigmatic world of luminous blue variable stars, their unpredictable behavior, and their role in massive star evolution. Gain insights from long-term monitoring and recent discoveries in astrophysics.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Black Hat

Rapid Radio Reversing

Explore wireless security research techniques combining SDR and non-SDR tools. Learn efficient reverse engineering processes for analyzing and decoding radio signals in this hands-on demonstration.

• YouTube
• 1 hour 1 minute
• On-Demand
• Conference Talk

Valerio Velardo - The Sound of AI

Generating Sound Digits with a Variational Autoencoder

Learn to generate audio spectrograms of sound digits using a trained Variational Autoencoder, then convert them into audio. Includes implementation, scripting, debugging, and result evaluation.

• YouTube
• 35 minutes
• On-Demand
• Free Video

EuroPython Conference

Audio Classification with Machine Learning

Learn to build practical machine learning models for audio classification using spectrograms, CNNs, and techniques like transfer learning and data augmentation with Keras and TensorFlow.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Implementing a Sound Identifier in Python

Explore Python-based sound recognition using DSP techniques. Learn to implement a Shazam-style identifier, covering fingerprinting, challenges, and future steps. Suitable for Python enthusiasts interested in audio processing.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

ADC - Audio Developer Conference

Real-Time, Low Latency and High Temporal Resolution Spectrograms

Explore Resonate algorithm for real-time spectral analysis with low latency and minimal computational cost, featuring Swift, C++, and Python implementations.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Audio Analytics with Azure Automated ML for Music Genre Classification

Explore audio analytics using Azure Automated ML, including spectrograms, Fast Fourier Transform, and music genre classification through hands-on demos and practical applications.

• YouTube
• 27 minutes
• On-Demand
• Free Video