990 resultados para speech analysis


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This article examines the negotiation of face in post observation feedback conferences on an initial teacher training programme. The conferences were held in groups with one trainer and up to four trainees and followed a set of generic norms. These norms include the right to offer advice and to criticise, speech acts which are often considered to be face threatening in more normal contexts. However, as the data analysis shows, participants also interact in ways that challenge the generic norms, some of which might be considered more conventionally face attacking. The article argues that face should be analysed at the level of interaction (Haugh and Bargiela-Chiappini, 2010) and that situated and contextual detail is relevant to its analysis. It suggests that linguistic ethnography, which 'marries' (Wetherell, 2007) linguistics and ethnography, provides a useful theoretical framework for doing so. To this end the study draws on real-life talk-in-interaction (from transcribed recordings), the participants' perspectives (from focus groups and interviews) and situated detail (from fieldnotes) to produce a contextualised and nuanced analysis. © 2011 Elsevier B.V.

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This paper discusses the first of three studies which collectively represent a convergence of two ongoing research agendas: (1) the empirically-based comparison of the effects of evaluation environment on mobile usability evaluation results; and (2) the effect of environment - in this case lobster fishing boats - on achievable speech-recognition accuracy. We describe, in detail, our study and outline our results to date based on preliminary analysis. Broadly speaking, the potential for effective use of speech for data collection and vessel control looks very promising - surprisingly so! We outline our ongoing analysis and further work.

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Sentiment analysis over Twitter offer organisations a fast and effective way to monitor the publics' feelings towards their brand, business, directors, etc. A wide range of features and methods for training sentiment classifiers for Twitter datasets have been researched in recent years with varying results. In this paper, we introduce a novel approach of adding semantics as additional features into the training set for sentiment analysis. For each extracted entity (e.g. iPhone) from tweets, we add its semantic concept (e.g. Apple product) as an additional feature, and measure the correlation of the representative concept with negative/positive sentiment. We apply this approach to predict sentiment for three different Twitter datasets. Our results show an average increase of F harmonic accuracy score for identifying both negative and positive sentiment of around 6.5% and 4.8% over the baselines of unigrams and part-of-speech features respectively. We also compare against an approach based on sentiment-bearing topic analysis, and find that semantic features produce better Recall and F score when classifying negative sentiment, and better Precision with lower Recall and F score in positive sentiment classification.

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Purpose: The purpose of this paper is to examine the quality of evidence collected during interview. Current UK national guidance on the interviewing of victims and witnesses recommends a phased approach, allowing the interviewee to deliver their free report before any questioning takes place, and stipulating that during this free report the interviewee should not be interrupted. Interviewers, therefore, often find it necessary during questioning to reactivate parts of the interviewee's free report for further elaboration. Design/methodology/approach: The first section of this paper draws on a collection of police interviews with women reporting rape, and discusses one method by which this is achieved - the indirect quotation of the interviewee by the interviewer - exploring the potential implications for the quality of evidence collected during this type of interview. The second section of the paper draws on the same data set and concerns itself with a particular method by which information provided by an interviewee has its meaning "fixed" by the interviewer. Findings: It is found that "formulating" is a recurrent practice arising from the need to clarify elements of the account for the benefit of what is termed the "overhearing audience" - in this context, the police scribe, CPS, and potentially the Court. Since the means by which this "fixing" is achieved necessarily involves the foregrounding of elements of the account deemed to be particularly salient at the expense of other elements which may be entirely deleted, formulations are rarely entirely neutral. Their production, therefore, has the potential to exert undue interviewer influence over the negotiated "final version" of interviewees' accounts. Originality/value: The paper highlights the fact that accurate re-presentations of interviewees' accounts are a crucial tool in ensuring smooth progression of interviews and that re-stated speech and formulation often have implications for the quality of evidence collected during significant witness interviews. © Emerald Group Publishing Limited.

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Purpose: Phonological accounts of reading implicate three aspects of phonological awareness tasks that underlie the relationship with reading; a) the language-based nature of the stimuli (words or nonwords), b) the verbal nature of the response, and c) the complexity of the stimuli (words can be segmented into units of speech). Yet, it is uncertain which task characteristics are most important as they are typically confounded. By systematically varying response-type and stimulus complexity across speech and non-speech stimuli, the current study seeks to isolate the characteristics of phonological awareness tasks that drive the prediction of early reading. Method: Four sets of tasks were created; tone stimuli (simple non-speech) requiring a non-verbal response, phonemes (simple speech) requiring a non-verbal response, phonemes requiring a verbal response, and nonwords (complex speech) requiring a verbal response. Tasks were administered to 570 2nd grade children along with standardized tests of reading and non-verbal IQ. Results: Three structural equation models comparing matched sets of tasks were built. Each model consisted of two 'task' factors with a direct link to a reading factor. The following factors predicted unique variance in reading: a) simple speech and non-speech stimuli, b) simple speech requiring a verbal response but not simple speech requiring a non-verbal-response, and c) complex and simple speech stimuli. Conclusions: Results suggest that the prediction of reading by phonological tasks is driven by the verbal nature of the response and not the complexity or 'speechness' of the stimuli. Findings highlight the importance of phonological output processes to early reading.

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This paper discusses the first of three studies which collectively represent a convergence of two ongoing research agendas: (1) the empirically-based comparison of the effects of evaluation environment on mobile usability evaluation results; and (2) the effect of environment - in this case lobster fishing boats - on achievable speech-recognition accuracy. We describe, in detail, our study and outline our results to date based on preliminary analysis. Broadly speaking, the potential for effective use of speech for data collection and vessel control looks very promising - surprisingly so! We outline our ongoing analysis and further work.

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In the present state of the art of authorship attribution there seems to be an opposition between two approaches: cognitive and stylistic methodologies. It is proposed in this article that these two approaches are complementary and that the apparent gap between them can be bridged using Systemic Functional Linguistics (SFL) and in particular some of its theoretical constructions, such as codal variation. This article deals with the theoretical explanation of why such a theory would solve the debate between the two approaches and shows how these two views of authorship attribution are indeed complementary. Although the article is fundamentally theoretical, two example experimental trials are reported to show how this theory can be developed into a workable methodology of doing authorship attribution. In Trial 1, a SFL analysis was carried out on a small dataset consisting of three 300-word texts collected from three different authors whose socio-demographic background matched across a number of parameters. This trial led to some conclusions about developing a methodology based on SFL and suggested the development of another trial, which might hint at a more accurate and useful methodology. In Trial 2, Biber's (1988) multidimensional framework is employed, and a final methodology of authorship analysis based on this kind of analysis is proposed for future research. © 2013, EQUINOX PUBLISHING.

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In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for supervised machine learning lead to database dependent classifiers which can not be applied for multi-language speech emotion recognition without additional training because they discriminate the emotion classes following the used training language. As there are experimental results showing that Humans can perform language independent categorisation, we made a parallel between machine recognition and the cognitive process and tried to discover the sources of these divergent results. The analysis suggests that the main difference is that the speech perception allows extraction of language independent features although language dependent features are incorporated in all levels of the speech signal and play as a strong discriminative function in human perception. Based on several results in related domains, we have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We propose a strategy for developing language independent machine emotion recognition, related to the identification of language independent speech features and the use of additional information from visual (expression) features.

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Deafness is an invisible handicap which makes education difficult due to its effect on language acquisition and development, speech acquisition, and ability to communicate with others. Teachers of students who are hearing impaired have been at odds for more than a century as to the best method of communication to use in teaching students who are hearing impaired, and in providing these students with communication systems that will enable them to be effective communicators. This dissertation utilized qualitative research methods to analyze whether the Dade County Public Schools Procedures for Providing Special Education for Exceptional Students-Hearing Impaired (DCPS), (1976-77; 1992-93) show evidence of an appropriate curriculum and instructional program that is responsive to the conditions facing exceptional education students identified as hearing impaired. Results indicate that many of the curriculum and instructional program requirements are not identified nor described when analyzed by Tyler's "Rationale" for Curriculum and Stufflebeam's Improvement-Oriented Evaluation Model, better known as Stufflebeam's CIPP Model. Recommendations to improve and enhance programs for students who are hearing impaired are offered based on this analysis. ^

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Sociolinguists have documented the substrate influence of various languages on the formation of dialects in numerous ethnic-regional setting throughout the United States. This literature shows that while phonological and grammatical influences from other languages may be instantiated as durable dialect features, lexical phenomena often fade over time as ethnolinguistic communities assimilate with contiguous dialect groups. In preliminary investigations of emerging Miami Latino English, we have observed that lexical forms based on Spanish lexical forms are not only ubiquitous among the speech of the first generation Cuban Americans but also of the second. Examples, observed in field work, casual observation, and studied formally in an experimental context include the following: “get down from the car,” which derives from the Spanish equivalent, bajar del carro instead of “get out of the car”. The translation task administered to thirty-one participants showed a variety lexical phenomena are still maintained at equal or higher frequencies.

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The purpose of this study was to gather normative data regarding the phonological system of bilingual Creole-English children ages three and five and to compare performance to norms for English speaking children. The forty participants lived in Miami and represented low socio-economic groups. Participants were assessed using the Goldman-Fristoe Test of Articulation-2 and a Haitian Creole Picture Naming Assessment. The results indicated that the percentage of correct phonemes in Creole (M=91.6) were not significantly different when compared to the correct production of the same phonemes in English (M=92.8). Further analysis revealed that the accuracy of all phonemes was higher for the five-year (M= 90.8) as compared to the three-year-olds (M= 85) in Creole. In English, the five-year-olds performed better than the three-year-olds participants. These findings revealed patterns of phonological development in bilingual Creole/English Children similar to patterns reported in other bilingual children. This information is essential in the evaluation and treatment of this population.

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This study is a variationist sociolinguistic analysis of two speech styles, performance and interview, of a dinner theatre troupe in Ferryland on the Southern Shore of Newfoundland. Five actors and ten of their characters are analyzed to test if their vowels change across styles. The study adopts a variationist framework with a Community of Practice model, drawing on Bell’s audience and referee design to argue that the performers’ stage conventions and identity construction are influenced by a third person referee: the Idealized Authentic Newfoundlander (IAN). Under this view the goal of the performer is to both communicate with and entertain the audience, which requires different tactics when speaking. These tactics manifest phonetically and are discussed in a quantitative, statistical analysis of the acoustic measurements of the vowel tokens [variables FACE, KIT, LOT/PALM and GOAT lexical sets with Newfoundland Irish English (NIE) variants] and a qualitative discussion.

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Aims and Scope: No sound class requires so much basic knowledge of phonology, acoustics, aerodynamics, and speech production as obstruents (turbulent sounds) do. This book is intended to bridge a gap by introducing the reader to the world of obstruents from a multidisciplinary perspective. It starts with a review of typological processes, continues with various contributions to the phonetics-phonology interface, explains the realization of specific turbulent sounds in endangered languages, and finishes with surveys of obstruents from a sociophonetic, physical and pathological perspective.

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Gender, Power and Political Speech explores the influence of gender on political speech by analyzing the performances of three female party leaders who took part in televised debates during the 2015 UK General Election campaign. The analysis considers similarities and differences between the women and their male colleagues, as well as between the women themselves; it also discusses the way gender - and its relationship to language - was taken up as an issue in media coverage of the campaign.