New blog post — I’ve been meaning to write this for a long time. It’s about a concept that has fascinated me from the moment I encountered it. I’ll also share a small contribution I made in this area with NoiseRverb, a heritage acoustics plugin that captures the sonic identity of historic churches in Quito […]
NoiseRverb: Heritage Acoustics in a Plugin Read More »
Have you ever wondered how machines understand the nuances of sound? In my previous post, we explored spectral analysis and learned how spectrograms reveal the frequency content of audio signals using the Short-Time Fourier Transform (STFT). Now, let’s dive deeper into advanced spectral representations for audio analysis, including Mel Spectrograms, CQT, and HCQT, and show how they
AllYouNeedIsSound 3: Spectral Representations and Feature Extraction Read More »
In my last post, I showed how to load and visualize audio waveforms using Python. Now, let’s dive deeper into spectral analysis with Python, a powerful technique for understanding the frequency content of audio signals. By using this approach, we can uncover patterns and features that are essential for tasks like sound classification, speech recognition, and music
AllYouNeedIsSound 2: From Waveforms to Spectral Representations Read More »