1,195,583 research outputs found

    Estimation of Severity of Speech Disability through Speech Envelope

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    In this paper, envelope detection of speech is discussed to distinguish the pathological cases of speech disabled children. The speech signal samples of children of age between five to eight years are considered for the present study. These speech signals are digitized and are used to determine the speech envelope. The envelope is subjected to ratio mean analysis to estimate the disability. This analysis is conducted on ten speech signal samples which are related to both place of articulation and manner of articulation. Overall speech disability of a pathological subject is estimated based on the results of above analysis.Comment: 8 pages,4 Figures,Signal & Image Processing Journal AIRC

    ANALYSIS OF SPEECH ACTS IN DONALD TRUMP'S ACCEPTANCE SPEECH

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    This article aims at carrying out a pragmatic analysis of a selected extract from Donald Trump’s acceptance speech delivered at the Republican National Convention on July 21st, 2016. The study mainly focuses on the identification and the analysis of linguistic features of speech acts (Austin 1962 and Searl 1969) used in the political language of the acceptance speech to uncover the way Donald Trump has encoded his own intentions and his party’s expectations therein. The identification of illocutionary acts indicates the presence of representative acts, directive acts, expressive acts, commissive acts, and declarative acts. The interpretation of the findings reveals the dominance of representative illocutionary acts which shows that Trump has mainly expressed his personal beliefs, on the one hand, and displayed his truth engagement to lead his party to the White House, on the other. Directive illocutionary acts are used to suggest some solutions, while commissive acts are used to point out challenges of security and peace to be taken up once elected. As for expressive acts, they reflect Trump’s psychological state, while addressing the audience at the convention. The article concludes that the study of speech acts has made it easy to comprehend the message in President Donald Trump’s speech

    Learning Fault-tolerant Speech Parsing with SCREEN

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    This paper describes a new approach and a system SCREEN for fault-tolerant speech parsing. SCREEEN stands for Symbolic Connectionist Robust EnterprisE for Natural language. Speech parsing describes the syntactic and semantic analysis of spontaneous spoken language. The general approach is based on incremental immediate flat analysis, learning of syntactic and semantic speech parsing, parallel integration of current hypotheses, and the consideration of various forms of speech related errors. The goal for this approach is to explore the parallel interactions between various knowledge sources for learning incremental fault-tolerant speech parsing. This approach is examined in a system SCREEN using various hybrid connectionist techniques. Hybrid connectionist techniques are examined because of their promising properties of inherent fault tolerance, learning, gradedness and parallel constraint integration. The input for SCREEN is hypotheses about recognized words of a spoken utterance potentially analyzed by a speech system, the output is hypotheses about the flat syntactic and semantic analysis of the utterance. In this paper we focus on the general approach, the overall architecture, and examples for learning flat syntactic speech parsing. Different from most other speech language architectures SCREEN emphasizes an interactive rather than an autonomous position, learning rather than encoding, flat analysis rather than in-depth analysis, and fault-tolerant processing of phonetic, syntactic and semantic knowledge.Comment: 6 pages, postscript, compressed, uuencoded to appear in Proceedings of AAAI 9

    The Politeness Prosody of the Javanese Directive Speech

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    This experimental phonetic research deals with the prosodies of directive speech in Javanese. The research procedures were: (1) speech production, (2) acoustic analysis, and (3) perception test. The data investigated are three directive utterances, in the form of statements, commands, and questions. The data were obtained by recording dialogues that present polite as well as impolite speech. Three acoustic experiments were conducted for statements, commands, and questions in directive speech: (1) modifications of duration, (2) modifications of contour, and (3) modifications of fundamental frequency. The result of the subsequent perception tests to 90 stimuli with 24 subjects were analysed statistically with ANOVA (Analysis of Variant). Based on this statistic analysis, the prosodic characteristics of polite and impolite speech were identified

    The Politeness Prosody of the Javanese Directive Speech

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    This experimental phonetic research deals with the prosodies of directive speech in Javanese. The research procedures were: (1) speech production, (2) acoustic analysis, and (3) perception test. The data investigated are three directive utterances, in the form of statements, commands, and questions. The data were obtained by recording dialogues that present polite as well as impolite speech. Three acoustic experiments were conducted for statements, commands, and questions in directive speech: (1) modifications of duration, (2) modifications of contour, and (3) modifications of fundamental frequency. The result of the subsequent perception tests to 90 stimuli with 24 subjects were analysed statistically with ANOVA (Analysis of Variant). Based on this statistic analysis, the prosodic characteristics of polite and impolite speech were identified

    A SYSTEMIC FUNCTIONAL ANALYSIS ON JAVANESE POLITENESS: TAKING SPEECH LEVEL INTO MOOD STRUCTURE

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    Speech level is an important aspect in Javanese grammar. It is just like, among others, tenses in English. Thus, the involvement of speech level in any study of Javanese grammar is highly necessary. On the other hand, speech level must also be studied the grammatical point of view. So far, however, there are very limited numbers—if any does really exist—of grammatical study on Javanese speech level. Most major studies on Javanese speech level are of sociolinguistics, lexical taxonomy or grouping, and prescriptive analysis. It is probably due to the idea of speech level as merely a social phenomenon has been taken for granted. Therefore, taking the speech level system into a grammatical analysis seems hardly possible. It is assumed that the seemingly impossible attempt comes only to the formal approach of the grammar study tradition for it has neglected the social aspect. Hence, it is necessary to look for an alternative grammatical approach which is able to cope with the speech level both grammatically and socially. A particular approach of grammar which involves social context is systemic functional grammar (SFG). SFG proposes that language has three kinds of functional component. One of them is the interpersonal function. This function sees language as an interaction between addresser and addressee—language is used for enacting participants‘ roles and relation among them. The interpersonal function is expressed through a particular grammatical structure, namely mood structure. This article is going present a demonstration of systemic functional analysis on Javanese speech level by taking it into the mood structure analysis. In addition, this paper aims for two kinds of potential significance. First, it could be an adequate description of Javanese speech level grammaticalization. Second, it can be a typological supplement for SFG in dealing with languages which apply a speech level system

    Uses of the pitch-scaled harmonic filter in speech processing

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    The pitch-scaled harmonic filter (PSHF) is a technique for decomposing speech signals into their periodic and aperiodic constituents, during periods of phonation. In this paper, the use of the PSHF for speech analysis and processing tasks is described. The periodic component can be used as an estimate of the part attributable to voicing, and the aperiodic component can act as an estimate of that attributable to turbulence noise, i.e., from fricative, aspiration and plosive sources. Here we present the algorithm for separating the periodic and aperiodic components from the pitch-scaled Fourier transform of a short section of speech, and show how to derive signals suitable for time-series analysis and for spectral analysis. These components can then be processed in a manner appropriate to their source type, for instance, extracting zeros as well as poles from the aperiodic spectral envelope. A summary of tests on synthetic speech-like signals demonstrates the robustness of the PSHF's performance to perturbations from additive noise, jitter and shimmer. Examples are given of speech analysed in various ways: power spectrum, short-time power and short-time harmonics-to-noise ratio, linear prediction and mel-frequency cepstral coefficients. Besides being valuable for speech production and perception studies, the latter two analyses show potential for incorporation into speech coding and speech recognition systems. Further uses of the PSHF are revealing normally-obscured acoustic features, exploring interactions of turbulence-noise sources with voicing, and pre-processing speech to enhance subsequent operations
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