نتایج جستجو برای: affective prosody p

تعداد نتایج: 1303863  

Journal: :CoRR 2017
Somnath Roy

Prosody describes both form and function of a sentence using the suprasegmental features of speech. Prosody phenomena are explored in the domain of higher phonological constituents such as word, phonological phrase and intonational phrase. The study of prosody at the word level is called word prosody and above word level is called sentence prosody. Word Prosody describes stress pattern by compa...

2004
Ken Chen Mark Hasegawa-Johnson

Prosody has been traditionally regarded as useless for word recognition. In this paper, we provide a schematic view describing how prosody can help word recognition. We provide our view in terms of a Bayesian network that models the stochastic dependence among acoustic observation, word, prosody, syntax and meaning, and an information-theoretic analysis proving that the mutual information betwe...

Journal: :Journal of Speech Sciences 2021

ژورنال: پرستاری کودکان 2020

Introduction: Affective capital is one of the positive variables that can be effective in improving the conditions of female students with depression. The aim of this study was to determine the effect of positive mindfulness therapy; mindfulness based cognitive therapy and cognitive-behavioral therapy on affective capital in female students with depression. Method: The research method was semi-...

Journal: :journal of computer and robotics 0
mohammad savargiv faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran azam bastanfard faculty of media engineering, islamic republic of iran broadcast university, tehran, iran

one of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. speech synthesis is granting human abilities to the computer for speech production. data-based approach and process-based approach are the two main approaches on speech synthesis. each approach has its varied challenges. unit-selection speech synthesis and statistical parametr...

2014
David James Vandyke Michael Wagner Roland Goecke Girija Chetty Alice Richardson Robert Cox Serena Chong Jason Webber

Contributions are made along two main lines. Firstly a method is proposed for using a regression model to learn relationships within the scores of a machine learning classifier, which can then be applied to future classifier output for the purpose of improving recognition accuracy. The method is termed r-norm and strong empirical results are obtained from its application to several text-indepen...

2009
Ivan Gregor Michael Kipp Jan Miksatko

Multimodal user interfaces are becoming more and more important in humann machine communication. Essential representatives of such interfaces are virtual agents that aim to act like humans in the way they employ gestures, facial expression, posture and prosody to convey their emotions in face-to-face communication. Furthermore, if we employ a presentation team [1] to convey facts, the performan...

Journal: :Grammar, usage and discourse 2017

Journal: :Frontiers for Young Minds 2022

When we speak, can vary how use our voices. Our speech be high or low (pitch), loud soft (loudness), and fast slow (duration). This variation in pitch, loudness, duration is called prosody. It a bit like making music. Varying voices when speak express sarcasm emotion even change the meaning of what are saying. So, prosody crucial part spoken language. But do speakers produce prosody? How listen...

2003
Ken Chen Mark Hasegawa-Johnson Sung-Suk Kim

Does prosody help word recognition? In this paper, we propose a novel probabilistic framework in which word and phoneme are dependent on prosody in a way that improves word recognition. We describe the idea of prosody dependent speech recognition by building a prosody dependent speech recognizer that conditions word and phoneme models on two important prosodic variables: intonational phrase bou...

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