피치 이동 및 시간 스트레칭

Pitch shifting and time stretching are related but distinct transformations. A simple change in playback rate alters both duration and pitch: playing faster shortens the clip and raises its pitch, while playing slower lengthens it and lowers pitch. A pitch shifter tries to change pitch without changing duration; a time stretcher tries to change duration without changing pitch. These goals require signal processing beyond changing the sample-rate label. A phase vocoder works in the short-time Fourier transform domain. It changes the spacing of analysis frames to alter duration, then adjusts phase progression to create a coherent synthesis. It can handle general audio but may smear transients or create phasiness, especially with percussive material or extreme stretch factors. Pitch shifting can be built by combining time-scale modification with resampling, but details determine artifacts and duration compensation. Pitch-synchronous overlap-add methods align processing to estimated pitch periods. PSOLA can work well for voiced speech when pitch marks are reliable, making it useful for changing pitch or duration while maintaining a speech-like waveform. It is less directly suited to unvoiced sounds or arbitrary music. Neural methods learn transformations from data and may produce natural results for supported content, but require trained models and can alter details or fail outside their training conditions. No method is artifact-free for every signal. Transients, vibrato, polyphony, noisy speech, and large transformation factors expose different weaknesses. An algorithm optimized for voice may not preserve a drum hit or musical timbre. Evaluate with listening and objective task measures that reflect the use case. Keep transformed data within plausible ranges when augmenting training examples so labels remain valid. Libraries expose operations with different parameter conventions. State whether a rate represents output duration relative to input, and verify whether the function preserves pitch by default. Record the algorithm, version, sampling rate, and settings. Always check output duration, clipping, and boundary handling before mixing transformed audio into a dataset or production workflow.