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RSS Curriculum Vitae TR

Short-Time Fourier Transform

Turkish equivalent: Kısa zamanlı Fourier dönüşümüDomain: Signal Processing

A time-frequency analysis method that applies the Fourier transform to successive overlapping windowed frames of a signal.

Signal Processing Context

The Short-Time Fourier Transform analyzes a signal in overlapping finite windows, producing a time-frequency representation. Frame length, hop size, FFT size, and window function determine the time-frequency resolution trade-off used by many speech and audio front ends.

Measurement Boundary

An STFT uses the same analysis-window design across the signal unless the pipeline changes it explicitly. It therefore does not provide arbitrary simultaneous time and frequency resolution, and window choice affects leakage and amplitude estimates.

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Related concepts

Signal Processing

Related technical publications

Publications whose title or summary directly references this concept.

Signals and Systems

Course notes on continuous and discrete signals, LTI systems, Fourier/STFT, sampling, filters, Laplace and z transforms, and the bridge to speech features.

Audio Feature Vectors and Matching

Audio feature extraction through pre-emphasis, framing, windowing, FFT/STFT, time and spectral features, MFCCs, pitch and formants, and learned audio or speaker embeddings.