fft-spectral

You can perform real-time FFT spectral analysis by applying STFT to streaming audio with configurable FFT sizes, window functions, and hop sizes. This approach enables live spectral visualization, filtering, and effects processing on continuous audio data streams.

Overlap-Add (OLA) reconstruction recombines windowed audio frames back into continuous time-domain audio after STFT processing. It is necessary to prevent edge artifacts and maintain high-quality audio output following spectral manipulation.

Yes, this STFT approach integrates with common DSP libraries like JUCE for audio plugin development. It provides real-time constraints, COLA-compliant windowing, and latency considerations specifically required for building live audio processing plugins.

COLA (Constant Overlap-Add) constraints ensure overlapping windowed frames sum to a constant amplitude, preventing amplitude modulation artifacts. Applying COLA-compliant windowing with correct hop sizes is critical for transparent real-time audio reconstruction.

Choosing FFT size and hop size involves balancing time and frequency resolution. Smaller hop sizes with COLA-compliant windows reduce latency and artifacts, while larger FFT sizes provide finer spectral detail for visualization and pitch estimation.

Artifacts after inverse FFT typically result from improper windowing or non-COLA-compliant hop sizes. Applying overlap-add reconstruction with appropriate window functions and zero-padding resolves edge discontinuities and ensures high-quality time-domain audio output.