Acoustic analysis of trill sounds.

In this paper, the acoustic-phonetic characteristics of steady apical trills--trill sounds produced by the periodic vibration of the apex of the tongue--are studied. Signal processing methods, namely, zero-frequency filtering and zero-time liftering of speech signals, are used to analyze the excitation source and the resonance characteristics of the vocal tract system, respectively. Although it is natural to expect the effect of trilling on the resonances of the vocal tract system, it is interesting to note that trilling influences the glottal source of excitation as well. The excitation characteristics derived using zero-frequency filtering of speech signals are glottal epochs, strength of impulses at the glottal epochs, and instantaneous fundamental frequency of the glottal vibration. Analysis based on zero-time liftering of speech signals is used to study the dynamic resonance characteristics of vocal tract system during the production of trill sounds. Qualitative analysis of trill sounds in different vowel contexts, and the acoustic cues that may help spotting trills in continuous speech are discussed.

[1]  D. Recasens On the production characteristics of apicoalveolar taps and trills , 1991 .

[2]  Maddieson Patterns of sounds: Preface , 1984 .

[3]  Bayya Yegnanarayana,et al.  Epoch Extraction From Speech Signals , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[4]  D. Recasens,et al.  A study of /J/ and /r/ in the light of the “DAC” coarticulation model , 1999 .

[5]  P. Ladefoged,et al.  Laterals and trills , 1977, Journal of the International Phonetic Association.

[6]  Bayya Yegnanarayana,et al.  Voiced/Nonvoiced Detection Based on Robustness of Voiced Epochs , 2010, IEEE Signal Processing Letters.

[7]  Erik W. Willis,et al.  Acoustic Characterization of PhonemicTrill Production in Jerezano Andalusian Spanish , 2010 .

[8]  B. P. Bogert,et al.  The quefrency analysis of time series for echoes : cepstrum, pseudo-autocovariance, cross-cepstrum and saphe cracking , 1963 .

[9]  Bayya Yegnanarayana,et al.  Event-Based Instantaneous Fundamental Frequency Estimation From Speech Signals , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  J. Westbury Enlargement of the supraglottal cavity and its relation to stop consonant voicing. , 1983, The Journal of the Acoustical Society of America.

[11]  Bayya Yegnanarayana,et al.  Features for automatic detection of voice bars in continuous speech , 2008, INTERSPEECH.

[12]  Bayya Yegnanarayana,et al.  Significance of group delay functions in spectrum estimation , 1992, IEEE Trans. Signal Process..

[13]  Laura Colantoni Increasing Periodicity to ReduceSimilarity: An Acoustic Account of Deassibilation in Rhotics , 2006 .

[14]  Manuel Diáz-Campos Variable Production of the Trill inSpontaneous Speech: Sociolinguistic Implications , 2008 .

[15]  Bayya Yegnanarayana,et al.  Characterization of Glottal Activity From Speech Signals , 2009, IEEE Signal Processing Letters.

[16]  Maria-Josep Solé,et al.  Aerodynamic characteristics of trills and phonological patterning , 2002, J. Phonetics.

[17]  Bayya Yegnanarayana,et al.  Extracting formants from short segments of speech using group delay functions , 2006, INTERSPEECH.

[18]  P. Ladefoged,et al.  The trills of Toda , 1996, Journal of the International Phonetic Association.

[19]  B. Yegnanarayana Formant extraction from linear‐prediction phase spectra , 1978 .

[20]  J. Berg,et al.  Subglottic Pressures and Vibrations of the Vocal Folds , 1957 .

[21]  R. S. McGowan,et al.  Tongue-tip trills and vocal-tract wall compliance. , 1992, The Journal of the Acoustical Society of America.