Whispered words on praat12/4/2023 ![]() In: Yost WA, Popper AN, Fay RR (eds) Auditory perception of sound sources. Patterson RD, Smith DRR, van Dinther R, Walters TC (2008) Size information in the production and perception of communication sounds. In: Proceedings of the 19th international congress on acoustics. Patterson RD, van Dinther R, Irino T (2007) The robustness of bio-acoustic communication and the role of normalization. In: Fay RR, Popper AN (eds) Perspectives in auditory research. Patterson RD, Irino T (2013) Size matters in hearing: how the auditory system normalizes the sounds of speech and music for source size. Patterson RD (1994) The sound of a sinusoid: time-interval models. ![]() Licklider JCR (1951) A duplex theory of pitch perception. Lee S, Potamianos A, Narayanan S (1999) Acoustics of children’s speech: developmental changes of temporal and spectral parameters. Kawahara H, Masuda-Katsuse I, de Cheveigné A (1999) Restructuring speech representations using pitch-adaptive time-frequency smoothing and instantaneous-frequency-based F0 extraction: possible role of repetitive structure in sounds. Ives DT, Smith DRR, Patterson RD (2005) Discrimination of speaker size from syllable phrases. Irino T, Aoki Y, Kawahara H, Patterson RD (2012) Comparison of performance with voiced and whispered speech in word recognition and mean-formant-frequency discrimination. IEEE Trans Audio Speech Lang Process 14:2222–2232 ![]() Irino T, Patterson RD (2006) A dynamic compressive gammachirp auditory filterbank. Irino T, Patterson RD (2002) Segregating information about the size and shape of the vocal tract using a time-domain auditory model: the stabilised wavelet-Mellin transform. Irino T, Patterson RD (1997) A time-domain, level-dependent auditory filter: the gammachirp. Proc R Soc Lond Ser B 268:1669–1675įletcher NH, Rossing TD (1998) The physics of musical instruments. J Acoust Soc Am 106:1511–1522įitch WT, Reby D (2001) The descended larynx is not uniquely human. Mouton, Parisįitch WT, Giedd J (1999) Morphology and development of the human vocal tract: a study using magnetic resonance imaging. IEEE Trans Signal Process 41(12):3275–3292įant G (1970) Acoustic theory of speech production, 2nd edn. Glot Int 5:341–345Ĭohen L (1993) The scale representation. J Acoust Soc Am 124(5):3203–3212īoersma P (2001) PRAAT: a system for doing phonetics by computer. Last_segment = Get low interval at time: segment_tier, segment_tier, last_vowel$, last_segmentĪppendInfoLine: "My segment is on interval ", segment_indexįinding the last vowel, and running your analyses, are not within the scope of this question, based on your title.Assmann PF, Nearey TM (2008) Identification of frequency shifted vowels. Word_end = Get end point: word_tier, word_index You'd then have to do the same but looking only among the intervals that fall within the boundaries of that word for the one that is labelled like the vowel you want.įor this, you can once again use the procedures from the "tgutils" plugin to look backwards for the first interval labelled with that vowel: # Find the interval number in the segment tier at the end With it, you can include the procedures in find_labels.proc (or just copy the contents of that file into your script) and write word_tier, target$ĪppendInfoLine: "My word is on interval ", word_index Label$ = Get label of interval: word_tier, iĪppendInfoLine: "My label is on interval ", indexĪlternatively, you could use the commands provided in the " tgutils" plugin distributed through CPrAN (full disclaimer: I wrote it). The most naive way to do this would be n = Get number of intervals: word_tier The first and the third seem to me to be on-topic for this question. Look for the interval labelled with that vowel in the segment tier As I understand your question, there are four different tasks:
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