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J. Werker, R. Tees (1999)
Influences on infant speech processing: toward a new synthesis.Annual review of psychology, 50
PF Assmann, TM Nearey, SV Bharadwaj (2013)
Vowel inherent spectral change
R. Drullman, J. Festen, R. Plomp (1994)
Effect of temporal envelope smearing on speech reception.The Journal of the Acoustical Society of America, 95 2
H. Klein (1984)
Learning to stress: a case studyJournal of Child Language, 11
J. Gross, N. Hoogenboom, G. Thut, P. Schyns, S. Panzeri, P. Belin, S. Garrod (2013)
Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human BrainPLoS Biology, 11
Latika Singh, N. Singh (2008)
The development of articulatory signatures in children.Developmental science, 11 4
D. Snow (1994)
Phrase-final syllable lengthening and intonation in early child speech.Journal of speech and hearing research, 37 4
E. Clark, S. Gelman, N. Lane (1985)
Compound Nouns and Category Structure in Young Children.Child Development, 56
P. Jusczyk, Alan Cutler, Nancy Redanz (1993)
Infants' preference for the predominant stress patterns of English words.Child development, 64 3
J. Bertoncini, R. Bijeljac-Babic, P. Jusczyk, Lori Kennedy, J. Mehler (1988)
An investigation of young infants' perceptual representations of speech sounds.Journal of experimental psychology. General, 117 1
S. Greenberg (2012)
A Multi-Tier Framework for Understanding Spoken Language
V. Leong, U. Goswami (2014)
Impaired extraction of speech rhythm from temporal modulation patterns in speech in developmental dyslexiaFrontiers in Human Neuroscience, 8
K. Hirsh-Pasek, D. Nelson, P. Jusczyk, K. Cassidy, Benjamin Druss, Lori Kennedy (1987)
Clauses are perceptual units for young infantsCognition, 26
PK Kuhl (2004)
Early language acquisition: cracking the speech codeNature Neuroscience Review, 5
S. Nittrouer (1995)
Children learn separate aspects of speech production at different rates: evidence from spectral moments.The Journal of the Acoustical Society of America, 97 1
S Greenberg (2005)
Listening to speech: An auditory perspective
P. Jusczyk, J. Bertoncini (1988)
Viewing The Development of Speech Perception As An Innately Guided Learning ProcessLanguage and Speech, 31
(2003)
Patterns of variability in voice onset time: adevelopmental study of speech motor skills in humans
S. Nittrouer, Sandy Estee, Joanna Lowenstein, Jennifer Smith (2005)
The emergence of mature gestural patterns in the production of voiceless and voiced word-final stops.The Journal of the Acoustical Society of America, 117 1
P. Assmann, T. Nearey, Sneha Bharadwaj (2013)
Developmental Patterns in Children’s Speech: Patterns of Spectral Change in Vowels
N. Ding, J. Simon (2014)
Cortical entrainment to continuous speech: functional roles and interpretationsFrontiers in Human Neuroscience, 8
K. Ballard, Danica Djaja, J. Arciuli, D. James, J. Doorn (2012)
Developmental trajectory for production of prosody: lexical stress contrastivity in children ages 3 to 7 years and in adults.Journal of speech, language, and hearing research : JSLHR, 55 6
S Greenberg (1999)
Speaking in shorthand: A syllable-centric perspective for understanding spoken languageSpeech Communication, 29
K. Koike, C. Asp (1981)
Tennessee Test of Rhythm and Intonation Patterns.The Journal of speech and hearing disorders, 46 1
P. Eimas (1985)
The perception of speech in early infancy.Scientific American, 252 1
J. Peelle, J. Gross, Matthew Davis (2012)
Phase-Locked Responses to Speech in Human Auditory Cortex are Enhanced During ComprehensionCerebral Cortex (New York, NY), 23
P. Kuhl (2004)
Early language acquisition: cracking the speech codeNature Reviews Neuroscience, 5
Jessica Huber, E. Stathopoulos, Gina Curione, Theresa Ash, Kenneth Johnson (1999)
Formants of children, women, and men: the effects of vocal intensity variation.The Journal of the Acoustical Society of America, 106 3 Pt 1
K. Doelling, Luc Arnal, O. Ghitza, D. Poeppel (2014)
Acoustic landmarks drive delta–theta oscillations to enable speech comprehension by facilitating perceptual parsingNeuroImage, 85
E. Ahissar, S. Nagarajan, M. Ahissar, Athanassios Protopapas, H. Mahncke, M. Merzenich (2001)
Speech comprehension is correlated with temporal response patterns recorded from auditory cortexProceedings of the National Academy of Sciences of the United States of America, 98
V. Leong, U. Goswami (2015)
Acoustic-Emergent Phonology in the Amplitude Envelope of Child-Directed SpeechPLoS ONE, 10
Huan Luo, D. Poeppel (2007)
Phase Patterns of Neuronal Responses Reliably Discriminate Speech in Human Auditory CortexNeuron, 54
Kesheng Wu, E. Otoo, A. Shoshani (2005)
Optimizing connected component labeling algorithms, 5747
A. Doupe, P. Kuhl (1999)
Birdsong and human speech: common themes and mechanisms.Annual review of neuroscience, 22
Barbara Davis, P. MacNeilage, C. Matyear, Julia Powell (2000)
Prosodic correlates of stress in babbling: an acoustical study.Child development, 71 5
M. Dillencourt, H. Samet, Markku Tamminen (1992)
A general approach to connected-component labeling for arbitrary image representationsJ. ACM, 39
S. Rosen (1992)
Temporal information in speech: acoustic, auditory and linguistic aspects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 336 1278
D. Loeb, G. Allen (1993)
Preschoolers' imitation of intonation contours.Journal of speech and hearing research, 36 1
Spectro-temporal features of speech are the basis of phonological comprehension and production in the brain. Thus, these features provide a relevant framework to study speech and language development in children. In this paper, we present a novel framework to study the statistics of spectro-temporal features of speech that are encoded at different timescales. These timescales correspond to different linguistic units such as prosodic or syllabic components. The framework is tested on a speech corpus consisting of 169 speech samples. The paper demonstrates usage of the proposed framework in finding milestones of speech development in children. The results indicate the presence of more number of spectro-temporal features encoded at short timescales in adults as compared to children. However, no significant difference is observed in the spectro-temporal features encoded at long timescales between these groups. The proposed framework is also used in studying the speech impairments of children and adults with mild to moderate intellectual disabilities. The results reveal the absence of some spectro-temporal features encoded at both the timescales and their absence is more prominent in shorter timescales. The suggested framework can be used for studying speech development and impairment in different disorders.
International Journal of Speech Technology – Springer Journals
Published: Jun 8, 2017
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