Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
76,717
result(s) for
"PHONETICS"
Sort by:
The handbook of phonetic sciences
Written by leading researchers, this handbook brings together findings in biology and neurobiology and theoretical and applied areas of phonetics to provide an up-to-date and authoritative guide to phonetic science.
Book
Correction: Graphemic-phonetic diachronic linguistic invariance of the frequency and of the Index of Coincidence as cryptanalytic tools
[This corrects the article DOI: 10.1371/journal.pone.0213710.].
Journal Article
A figure of speech : a festschrift for John Laver
Throughout the world, there are phoneticians who have been influenced by the teaching, research, and writings of John Laver. Many have worked with him personally, and most of the contributors to this book are people with whom he has had special links or whose involvement represents an appreciation of the breadth of Laver's interests. While the book is meant to be a tribute to John Laver, the topics have been chosen to provide an overview of some key issues in phonetics, with illuminating contributions from some of the most influential academics in the field.
Book
The Bloomsbury companion to phonetics
The 'Bloomsbury Companion To Phonetics' is designed to be the essential one-volume resource for advanced students and academics. It offers a comprehensive reference resource, giving an overview of key topics and key terms in phonetics. It offers a survey of current research areas and new directions in the field as well as featuring a manageable guide to beginning or developing research.
Book
Five mechanisms of sound symbolic association
Sound symbolism refers to an association between phonemes and stimuli containing particular perceptual and/or semantic elements (e.g., objects of a certain size or shape). Some of the best-known examples include the mil/mal effect (Sapir,
Journal of Experimental Psychology
,
12
, 225–239,
1929
) and the maluma/takete effect (
Köhler, 1929
). Interest in this topic has been on the rise within psychology, and studies have demonstrated that sound symbolic effects are relevant for many facets of cognition, including language, action, memory, and categorization. Sound symbolism also provides a mechanism by which words’ forms can have nonarbitrary, iconic relationships with their meanings. Although various proposals have been put forth for how phonetic features (both acoustic and articulatory) come to be associated with stimuli, there is as yet no generally agreed-upon explanation. We review five proposals: statistical co-occurrence between phonetic features and associated stimuli in the environment, a shared property among phonetic features and stimuli; neural factors; species-general, evolved associations; and patterns extracted from language. We identify a number of outstanding questions that need to be addressed on this topic and suggest next steps for the field.
Journal Article
Do long-term acoustic-phonetic features and mel-frequency cepstral coefficients provide complementary speaker-specific information for forensic voice comparison?
A growing number of studies in forensic voice comparison have explored how elements of phonetic analysis and automatic speaker recognition systems may be integrated for optimal speaker discrimination performance. However, few studies have investigated the evidential value of long-term speech features using forensically-relevant speech data. This paper reports an empirical validation study that assesses the evidential strength of the following long-term features: fundamental frequency (F0), formant distributions, laryngeal voice quality, mel-frequency cepstral coefficients (MFCCs), and combinations thereof. Non-contemporaneous recordings with speech style mismatch from 75 male Australian English speakers were analyzed. Results show that 1) MFCCs outperform long-term acoustic phonetic features; 2) source and filter features do not provide considerably complementary speaker-specific information; and 3) the addition of long-term phonetic features to an MFCCs-based system does not lead to meaningful improvement in system performance. Implications for the complementarity of phonetic analysis and automatic speaker recognition systems are discussed.
•The evidential strength of long-term acoustic phonetic features, MFCCs, and combinations thereof was evaluated.•Non-contemporaneous recordings with speech style mismatch from 75 male Australian English speakers were analyzed.•MFCCs consistently outperform long-term acoustic phonetic features.•Source and filter features do not provide considerably complementary speaker-specific information.•The addition of long-term phonetic features to an MFCCs-based system does not lead to meaningful improvement in system performance.
Journal Article
Neural dynamics of phoneme sequences reveal position-invariant code for content and order
Speech consists of a continuously-varying acoustic signal. Yet human listeners experience it as sequences of discrete speech sounds, which are used to recognise discrete words. To examine how the human brain appropriately sequences the speech signal, we recorded two-hour magnetoencephalograms from 21 participants listening to short narratives. Our analyses show that the brain continuously encodes the three most recently heard speech sounds in parallel, and maintains this information long past its dissipation from the sensory input. Each speech sound representation evolves over time, jointly encoding both its phonetic features and the amount of time elapsed since onset. As a result, this dynamic neural pattern encodes both the relative order and phonetic content of the speech sequence. These representations are active earlier when phonemes are more predictable, and are sustained longer when lexical identity is uncertain. Our results show how phonetic sequences in natural speech are represented at the level of populations of neurons, providing insight into what intermediary representations exist between the sensory input and sub-lexical units. The flexibility in the dynamics of these representations paves the way for further understanding of how such sequences may be used to interface with higher order structure such as lexical identity.
Speech unfolds faster than the brain completes processing of speech sounds. Here, the authors show that brain activity moves systematically within neural populations of auditory cortex, allowing accurate representation of a speech sound’s identity and its position in the sound sequence.
Journal Article