Audio analysis transforms digital audio signals using deep learning algorithms. Sound has three key characteristics: time, amplitude, and frequency. Audio data can be stored in formats like WAV, AIFF, FLAC, or MP3
Intel64 processors require Praat's Intel64 edition. ARM64 processors need Praat's ARM64 edition. Older Intel32 computers can only use Intel32 edition
Audio signals are captured as air pressure variations at 44.1kHz. Fourier transform decomposes signals into frequencies and amplitudes. Fast Fourier transform efficiently computes Fourier transform
Spectrogram shows frequency changes over time in audio tracks. Helps identify clicks and glitches better than waveform view. Can be used with spectral editing effects for sound enhancement
Budget-friendly software for signal and sound analysis. Most programs function as spectrum analyzers. Programs read input signals and generate FFT viewing environment
Formant is a broad spectral maximum resulting from vocal tract resonance. Room formants are characteristic features of space's resonances. Formants shape sounds but are not sources themselves