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The performance of double-transform pitch determination algorithms (PDAs) with frequency-domain nonlinear distortion is investigated. This PDA principle comprises well-known PDAs, such as the autocorrelation PDA and the cepstrum PDA. Besides these two, the amplitude spectrum and the fourth-root spectrum PDAs were implemented and tested under various environmental conditions (clean signal, telephone-quality signal, and signal degraded by additive Gaussian noise). First results suggest that the fourth-root spectrum and the amplitude spectrum PDAs are less sensitive to noise than the cepstrum PDA and less sensitive to strong first formants than the autocorrelation PDA.