“…However, the ability to hear tones in noise has important implications for speech intelligibility under noisy conditions (Plomp, 1994). In support of this, the detection of common periodicity has been successfully used to segment parts of noisy speech signals that contain vowel sounds (Hu and Wang, 2008), and the use of periodicity-based features was found to enhance the automatic speech recognition rates of voiced components of speech in the presence of noise (Ishizuka & Nakatani, 2006). Other researchers have considered the role of periodicity processing in segregating vowels by autocorrelation and similar algorithms such as recurrent neural networks (Assmann and Summerfield, 1990;Cariani, 2001;de Cheveigné and Kawahara, 1999;Meddis and Hewitt, 1992), and in the formation of stable auditory images of periodic sounds through the cross-channel temporal alignment of the maxima of auditory nerve spike rates (Patterson et al, 1995).…”