DSP

AllYouNeedIsSound 3: Spectral Representations and Feature Extraction

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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 […]

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AllYouNeedIsSound 2: From Waveforms to Spectral Representations

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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

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AllYouNeedIsSound 1: Exploring Digital Audio Analysis for Advanced Applications

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It’s been a while since my last post, as I’ve been deeply immersed in my work and the development of my latest project, PureWaveShaper. Recently, I’ve been exploring how researchers and innovators use audio digital analysis with Python to analyse and understand audio data. Whether you’re a musician, audio engineer, data scientist, or simply curious

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