Dynamics of phonological-phonetic encoding in word production: Evidence from diverging ERPs between stroke patients and controls.

While the dynamics of lexical-semantic and lexical-phonological encoding in word production have been investigated in several event-related potential (ERP) studies, the estimated time course of phonological-phonetic encoding is the result of rather indirect evidence. We investigated the dynamics of phonological-phonetic encoding combining ERP analyses covering the entire encoding process in picture naming and word reading tasks by comparing ERP modulations in eight brain-damaged speakers presenting impaired phonological-phonetic encoding relative to 16 healthy controls. ERPs diverged between groups in terms of local waveform amplitude and global topography at ∼400ms after stimulus onset in the picture naming task and at ∼320-350ms in word reading and sustained until 100ms before articulation onset. These divergences appeared in later time windows than those found in patients with underlying lexical-semantic and lexical-phonological impairment in previous studies, providing evidence that phonological-phonetic encoding is engaged around 400ms in picture naming and around 330ms in word reading.

The intelligibility of speech through phonetic transcription

This paper analyzes the phonetic accuracy of both hearing-impaired and normal-hearing individuals’ speech production.

Effect of phonetic complexity on word reading and repetition in deep dyslexia

This investigation moves beyond the traditional studies of word reading to identify how the production complexity of words affects reading accuracy in an individual with deep dyslexia (JO). We examined JO’s ability to read words aloud while manipulating both the production complexity of the words and the semantic context. The classification of words as either phonetically simple or complex was based on the Index of Phonetic Complexity. The semantic context was varied using a semantic blocking paradigm (i.e., semantically blocked and unblocked conditions). In the semantically blocked condition words were grouped by semantic categories (e.g., table, sit, seat, couch,), whereas in the unblocked condition the same words were presented in a random order. JO’s performance on reading aloud was also compared to her performance on a repetition task using the same items. Results revealed a strong interaction between word complexity and semantic blocking for reading aloud but not for repetition. JO produced the greatest number of errors for phonetically complex words in semantically blocked condition. This interaction suggests that semantic processes are constrained by output production processes which are exaggerated when derived from visual rather than auditory targets. This complex relationship between orthographic, semantic, and phonetic processes highlights the need for word recognition models to explicitly account for production processes.

Trilled sounds in Brazilian Portuguese: Phonetic and phonological characterization

This paper deals with the phonological definition of trills in Brazilian Portuguese. The phonemic existence of two distinctive R's, one soft the other strong, is taken for granted. After reviewing the ideas of some Portuguese-speaking phoneticians on this matter, 146 occurrences of R's - recorded by two informants - were acoustically analyzed, the formants' general aspect and the length of the R segments were studied in the resulting spectrograms. The phonological table displayed in the conclusion does not include any trill. The soft phoneme /r/, instead, is classified as an interrupted apico-alveolar tap with a retroflex allophone. Naturalization between these two units is discarded.t

Optimization of algorithm to identification of duplicate tuples through similarity phonetic based on multithreading

Aiming to ensure greater reliability and consistency of data stored in the database, the data cleaning stage is set early in the process of Knowledge Discovery in Databases (KDD) and is responsible for eliminating problems and adjust the data for the later stages, especially for the stage of data mining. Such problems occur in the instance level and schema, namely, missing values, null values, duplicate tuples, values outside the domain, among others. Several algorithms were developed to perform the cleaning step in databases, some of them were developed specifically to work with the phonetics of words, since a word can be written in different ways. Within this perspective, this work presents as original contribution an optimization of algorithm for the detection of duplicate tuples in databases through phonetic based on multithreading without the need for trained data, as well as an independent environment of language to be supported for this. © 2011 IEEE.

Phonetic Aspects of Speech Communication

Nadeina set out to develop methods of speech development in Russian as a mother tongue, focusing on improving diction, training in voice quality control, intonation control, the removal of dialect, and speech etiquette. She began with training in the receptive skills of language, i.e. reading and listening, since the interpretation of someone else's language plays an important role in language production. Her studies of students' reading speed of students showed that it varies between 40 and 120 words per minute, which is normally considered very slow. She discovered a strong correlation between speed of reading and speaking skills: the slower a person reads the worse is their ability to speak and has designed exercises to improve reading skills. Nadeina also believes that listening to other people's speech is very important, both to analyse its content and in some cases as an example, so listening skills need to be developed. Many people have poor pronunciation habits acquired as children. On the basis of speech samples from young Russians (male and female, aged 17-22), Nadeina analysed the commonest speech faults - nasalisation, hesitation and hemming at the end of sense-groups, etc. Using a group of twenty listeners, she looked for a correlation between how voice quality is perceived and certain voice quality parameters, e.g. pitch range, tremulousness, fluency, whispering, harshness, sonority, tension and audible breath. She found that the less non-linguistic segment variations in speech appeared, the more attractive the speech was rated. The results are included in a textbook aimed at helping people to improve their oral skills and to communicate ideas to an audience. She believes this will assist Russian officials in their attempts to communicate their ideas to different social spheres, and also foreigners learning Russian.

Exploring differences between phonetic classes in Sleep Apnoea Syndrome Patients using automatic speech processing techniques

This work is part of an on-going collaborative project between the medical and signal processing communities to promote new research efforts on automatic OSA (Obstructive Apnea Syndrome) diagnosis. In this paper, we explore the differences noted in phonetic classes (interphoneme) across groups (control/apnoea) and analyze their utility for OSA detection