Training and search methods for speech recognition.

Speech recognition involves three processes: extraction of acoustic indices from the speech signal, estimation of the probability that the observed index string was caused by a hypothesized utterance segment, and determination of the recognized utterance via a search among hypothesized alternatives. This paper is not concerned with the first process. Estimation of the probability of an index string involves a model of index production by any given utterance segment (e.g., a word). Hidden Markov models (HMMs) are used for this purpose [Makhoul, J. & Schwartz, R. (1995) Proc. Natl. Acad. Sci. USA 92, 9956-9963]. Their parameters are state transition probabilities and output probability distributions associated with the transitions. The Baum algorithm that obtains the values of these parameters from speech data via their successive reestimation will be described in this paper. The recognizer wishes to find the most probable utterance that could have caused the observed acoustic index string. That probability is the product of two factors: the probability that the utterance will produce the string and the probability that the speaker will wish to produce the utterance (the language model probability). Even if the vocabulary size is moderate, it is impossible to search for the utterance exhaustively. One practical algorithm is described [Viterbi, A. J. (1967) IEEE Trans. Inf. Theory IT-13, 260-267] that, given the index string, has a high likelihood of finding the most probable utterance.

Models of natural language understanding.

This paper surveys some of the fundamental problems in natural language (NL) understanding (syntax, semantics, pragmatics, and discourse) and the current approaches to solving them. Some recent developments in NL processing include increased emphasis on corpus-based rather than example- or intuition-based work, attempts to measure the coverage and effectiveness of NL systems, dealing with discourse and dialogue phenomena, and attempts to use both analytic and stochastic knowledge. Critical areas for the future include grammars that are appropriate to processing large amounts of real language; automatic (or at least semi-automatic) methods for deriving models of syntax, semantics, and pragmatics; self-adapting systems; and integration with speech processing. Of particular importance are techniques that can be tuned to such requirements as full versus partial understanding and spoken language versus text. Portability (the ease with which one can configure an NL system for a particular application) is one of the largest barriers to application of this technology.

Processing of speech signals for physical and sensory disabilities.

Assistive technology involving voice communication is used primarily by people who are deaf, hard of hearing, or who have speech and/or language disabilities. It is also used to a lesser extent by people with visual or motor disabilities. A very wide range of devices has been developed for people with hearing loss. These devices can be categorized not only by the modality of stimulation [i.e., auditory, visual, tactile, or direct electrical stimulation of the auditory nerve (auditory-neural)] but also in terms of the degree of speech processing that is used. At least four such categories can be distinguished: assistive devices (a) that are not designed specifically for speech, (b) that take the average characteristics of speech into account, (c) that process articulatory or phonetic characteristics of speech, and (d) that embody some degree of automatic speech recognition. Assistive devices for people with speech and/or language disabilities typically involve some form of speech synthesis or symbol generation for severe forms of language disability. Speech synthesis is also used in text-to-speech systems for sightless persons. Other applications of assistive technology involving voice communication include voice control of wheelchairs and other devices for people with mobility disabilities.

Commercial applications of speech interface technology: an industry at the threshold.

Speech interface technology, which includes automatic speech recognition, synthetic speech, and natural language processing, is beginning to have a significant impact on business and personal computer use. Today, powerful and inexpensive microprocessors and improved algorithms are driving commercial applications in computer command, consumer, data entry, speech-to-text, telephone, and voice verification. Robust speaker-independent recognition systems for command and navigation in personal computers are now available; telephone-based transaction and database inquiry systems using both speech synthesis and recognition are coming into use. Large-vocabulary speech interface systems for document creation and read-aloud proofing are expanding beyond niche markets. Today's applications represent a small preview of a rich future for speech interface technology that will eventually replace keyboards with microphones and loud-speakers to give easy accessibility to increasingly intelligent machines.

New trends in natural language processing: statistical natural language processing.

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and information-theoretic techniques, with traditional symbolic methods. This work is made possible by the recent availability of linguistic databases that add rich linguistic annotation to corpora of natural language text. Already, these methods have led to a dramatic improvement in the performance of a variety of NLP systems with similar improvement likely in the coming years. This paper focuses on these trends, surveying in particular three areas of recent progress: part-of-speech tagging, stochastic parsing, and lexical semantics.

O efeito da estimulação top-down e bottom-up no potencial evocado auditivo de tronco encefálico com estímulo complexo

Introdução: Crianças com transtorno fonológico (TF) apresentam dificuldade na percepção de fala, em processar estímulos acústicos quando apresentados de forma rápida e em sequência. A percepção dos sons complexos da fala, dependem da integridade no processo de codificação analisado pelo Sistema Nervoso Auditivo. Por meio do Potencial Evocado Auditivo de Tronco Encefálico com estímulo complexo (PEATEc) é possível investigar a representação neural dos sons em níveis corticais e obter informações diretas sobre como a estrutura do som da sílaba falada é codificada no sistema auditivo. Porém, acredita-se que esse potencial sofre interferências tanto de processos bottom-up quanto top-down, o que não se sabe é quanto e como cada um desses processos modifica as respostas do PEATEc. Uma das formas de investigar a real influência dos aspectos top-down e bottom-up nos resultados do PEATEc é estimulando separadamente esses dois processos por meio do treinamento auditivo e da terapia fonoaudiológica. Objetivo: Verificar o impacto da estimulação sensorial (processamento bottom-up) e cognitiva (processamento top-down), separadamente, nos diferentes domínios da resposta eletrofisiológica do PEATEc. Método: Participaram deste estudo 11 crianças diagnosticadas com TF, com idades entre 7 e 10:11, submetidas a avaliação comportamental e eletrofisiológica e então dividas nos grupos Bottom-up (B-U) (N=6) e Top-down T-D (N=5). A estimulação bottom-up foi voltada ao treinamento das habilidades sensoriais, através de softwares de computador. A estimulação top-down foi realizada por meio de tarefas para estimular as habilidades cognitiva por meio do Programa de Estimulação Fonoaudiológica (PEF). Ambas as estimulações foram aplicadas uma vez por semana, num período de aproximadamente 45 minutos por 12 semanas. Resultados: O grupo B-U apresentou melhoras em relação aos domínios onset e harmônicos e no valor da pontuação do escore após ser submetido à estimulação bottom-up. Por sua vez, após serem submetidos à estimulação top-down, o grupo T-D apresentou melhoras em relação aos domínios onset, espectro-temporal, fronteiras do envelope e harmônicos e para os valores da pontuação do escore. Conclusão: Diante dos resultados obtidos neste estudo, foi possível observar que a estimulação sensorial (processamento bottom-up) e a estimulação cognitiva (processamento top-down) mostraram impactar de forma diferente a resposta eletrofisiológica do PEATEc

Convention, Tradition, and the New Wave : Assessing Clinician Identity within Behavior Therapy

In the first wave, behaviorists questioned the conventional wisdom that inner experience was relevant to understanding human behavior. In the 1970s, cognitive-behavioral theories emphasized the importance of the cognitive element, not just the environment, in explaining and modifying behavior. The third wave is drawn from advances in basic and applied behavior analysis of language, Eastern mystical traditions, and less empirically oriented therapeutic approaches. Examples include Acceptance and Commitment Therapy (ACT), Dialectical Behavior Therapy (DBT), Functional Analytic Psychotherapy (FAP), and Mindfulness Based Cognitive Therapy (IBCT). This study reports a survey of clinicians and non-clinicians who self-identify with second or third wave approaches, and a group of undergraduate psychology students intended to represent a layperson or folk psychological approach. Their preferences, in the context of 10 clinical vignettes, among 5 different therapeutic responses or interventions that included "ACT-like," "cognitive," and commonsense or "neutral" options were measured. Third wave-oriented respondents exhibited more consistency than others in their preference for interventions that match their self-identified theoretical orientation, however the author suggests that construction of the vignettes may have influenced this result.

A proposal for teaching with authentic texts in order to develop social awareness in a language subject in tertiary education

The University of the 21st century has to establish links with society and prepare students for the demands of the working world. Therefore, this article is a contribution to the integral preparation of university students by proposing the use of authentic texts with social content in English lessons so that students acquire emotional and social competencies while still learning content. This article will explain how the choice of texts on global issues such as racism and gender helps students to develop skills such as social awareness and critical thinking to deepen their understanding of discrimination, injustice or gender differences in both oral and written activities. A proposal will be presented which involves using the inauguration speech from Mandela's presidency and texts with photographs of women so that students analyse them whilst utilising linguistic tools that allow them to explore a text's social dimension.

De-authoring or Authoring?: A plunge into the question of authorship and language in J.M. Coetzee's Foe

J. M. Coetzee's Foe is not only a post-colonial novel, but it is also a re-writing of a classic, and its main themes are language, authorship, power and identity. Moreover, Foe is narrated by a woman, while written by a male, Nobel prize winning South African author. The aim of my tesina is to focus on the question of authorship and the role of language in Foe. Without any claim to be exhaustive, in the first section I will examine some selected extracts of Coetzee's book, in order to provide an analysis of the novel. These quotations will mainly be its metalinguistic parts and will be analysed in the “theory” sections of my work, relying on literary theory and on previous works on the novel. Among others, I will cover themes such as the relationship between speech and writing, the connection between writing, history, and memory, the role of silence and alternative ways of communicating and the relationship between literary authority and truth. These arguments will be the foundation for my second section, in which I will attempt to shed a light on the importance of the novel from a linguistic point of view, but always keeping an eye on the implication that this has on authorship. While it is true that it is less politically-permeated than Coetzee's previous works, Foe is above all a “journey of discovery” in the world of language and authorship. In fact, it becomes a warning for any person immersed in the ocean of language since, while everyone naturally tends to trust speech and writing as the only medium through which one can get closer to the truth, authority never is a synonym of reliability, and language is a system of communication behind which structures of power, misconceptions, lies, and treacherous tides easily hide.

Your speech. 6th- grade.

Includes bibliographies.

The faults of speech.: A self-corrector and teachers' manual.

Mode of access: Internet.

A new English grammar, containing a critical demonstration of the definitions of the parts of speech, the moods and tenses of verbs, and the rules and notes of syntax, never before published ...

Mode of access: Internet.

A compendium of English grammar, comprising the primary essentials of correct speech,

Mode of access: Internet.

English parsing: comprising the rules of syntax, exemplified by appropriate lessons under each rule, with an index, containing all the parts of speech in the different lessons unparsed, for the use of schools, private teachers, and elder students.

Mode of access: Internet.