Accurate processing of speech requires that listeners map temporally unfolding input to words. A long-held set of principles describes this process: lexical items are activated immediately and incrementally as speech arrives, perceptual and lexical representations rapidly decay to make room for new information; and lexical entries are temporally structured. In this framework; speech processing is tightly coupled to the temporally unfolding input. However, recent work challenges this: low-level auditory and higher-level lexical representations do not decay and are instead retained over long durations, speech perception may require encapsulated memory buffers, lexical representations are not strictly temporally structured, and listeners can substantially delay lexical access in some circumstances. These findings suggest that current theories and models of word recognition need to be reconceptualized.

minimal linguistic unit of phonology, the phoneme. Phonemes are abstract, language-specific categorizations of phones and are defined as the smallest units Phonetics is a branch of linguistics that mainly concerns the articulation, sound wave properties, and perception of speech sounds. The field of phonetics is traditionally divided into three sub-disciplines: articulatory phonetics, acoustic phonetics, and auditory phonetics. Linguists who specialize in studying these physical properties of vocalization are phoneticians. Traditionally, the minimal Pho…

were that speech is extended in time the sounds of speech (phonemes) overlap with each other the articulation of a speech sound is affected by the sounds TRACE is a connectionist model of speech perception, proposed by James McClelland and Jeffrey Elman in 1986. It is based on a structure called "the TRACE", a dynamic processing structure made up of a network of units, which performs as the system's working memory as well as the perceptual processing mechanism. TRACE was made into a working computer program for running perceptual simulations. Thes speech is extended in time the sounds of speech (phonemes) overlap with each other the articulation of a speech sound is affected by the sounds that come before and after it, and there is natural variability in speech (e.g. foreign accent) as well as noise in the environment (e.g. busy restaurant). Each of these causes the speech signal to be complex and often ambiguous, making it difficult for the human mind/brain to decide what words it is really hearing. In very simple terms, an interactive activation model solves this problem by placing different kinds of processing units (phonemes, words) in isolated layers, allowing activated units to pass information between layers, and having…

In human perception, the availability of context enhances recognition and renders it more robust to noise. Even if not all phonemes in a word (or words in a sentence etc.) are correctly perceived, humans can fill in missing parts with the help of cues from the surrounding speech parts. This was proven in studies on human speech perception where recognition of words in sentences under noise was shown to outperform recognition of words in isolation or, even more drastically, of nonsense syllables under noise. A new model for quantifying the influence of contextual information on human recognition performance was recently proposed. Although the authors state that it is not a model for the recognition process itself, we will see how the ideas behind this model can be used in automatic speech recognition to extend our formerly introduced multi-band recognition systems to incorporate frequency contextual information. We will compare the new set-up to our former models such as the full combination subband approach and its approximation.

describing speech as a concatenation of discrete “phonemes,” each chosen out of a set of 40 or so characteristic … it is constructed, if at all, as a consequence of perception, not as a step in the process of perception … include mention that the word may serve as a plural noun or as a verb form in the third person singular

The authors report a systematic meta-analytic review of the relationships among 3 of the most widely studied measures of children's phonological skills (phonemic awareness, rime awareness, and verbal short-term memory) and children's word reading skills. The review included both extreme group studies and correlational studies with unselected samples (235 studies were included, and 995 effect sizes were calculated). Results from extreme group comparisons indicated that children with dyslexia show a large deficit on phonemic awareness in relation to typically developing children of the same age (pooled effect size estimate: -1.37) and children matched on reading level (pooled effect size estimate: -0.57). There were significantly smaller group deficits on both rime awareness and verbal short-term memory (pooled effect size estimates: rime skills in relation to age-matched controls, -0.93, and reading-level controls, -0.37; verbal short-term memory skills in relation to age-matched controls, -0.71, and reading-level controls, -0.09). Analyses of studies of unselected samples showed that phonemic awareness was the strongest correlate of individual differences in word reading ability and that this effect remained reliable after controlling for variations in both verbal short-term memory and rime awareness. These findings support the pivotal role of phonemic awareness as a predictor of individual differences in reading development. We discuss whether such a relationship is a causal one and the implications of research in this area for current approaches to the teaching of reading and interventions for children with reading difficulties.