Vocal Features: From Voice Identification to Speech Recognition by Machine

Li, Xiaochang; Mills, Mara

doi:10.1353/tech.2019.0066

Cited by 41 publications

(25 citation statements)

References 28 publications

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“…Voice recognition is applied not only in identification but also in machine or application control. Such functions have recently been embedded in some FinTech applications (Li and Mills 2019).…”

Section: Perceived Usefulness Dominant Scenariomentioning

confidence: 99%

Exploring biometric identification in FinTech applications based on the modified TAM

Wang

2021

Financ Innov

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In recent years, biometric technologies have been widely embedded in mobile devices; these technologies were originally employed to enhance the security of mobile devices. With the rise of financial technology (FinTech), which uses mobile devices and applications as promotional platforms, biometrics has the important role of strengthening the identification of such applications for security. However, users still have privacy and trust concerns about biometrics. Previous studies have demonstrated that the technology acceptance model (TAM) can rigorously explain and predict user acceptance of new technologies. This study therefore modifies the TAM as a basic research architecture. Based on a literature review, we add two new variables, namely, “perceived privacy” and “perceived trust,” to extend the traditional TAM to examine user acceptance of biometric identification in FinTech applications. First, we apply the analytic hierarchy process (AHP) to evaluate the defined objects and relevant criteria of the research framework. Second, we use the AHP results in the scenario analysis to explore biometric identification methods that correspond to objects and criteria. The results indicate that face and voice recognition are the two most preferred identification methods in FinTech applications. In addition, there are significant changes in the results of the perceived trust and perceived privacy dominant scenarios.

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Section: Perceived Usefulness Dominant Scenariomentioning

confidence: 99%

Exploring biometric identification in FinTech applications based on the modified TAM

Wang

2021

Financ Innov

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“…Building on the growing literature on sound studies (Rangan, 2019;Sterne, 2012) and speech-recognition software (Li and Mills, 2019;Turow, 2021), the teleprompter can help us rethink how technology is used to standardize speech, recasting some voices as failed attempts to communicate. It shapes what Pooja Rangan (2019: 31) calls the 'audit': 'a mode of speaking and organizing that both produces and is produced by unspoken norms of perceptual discipline or attention' .…”

Section: The Standardization Of Speechmentioning

confidence: 99%

Paper, glass, algorithm: teleprompters and the invisibility of screens

Alexander¹,

Keren²

2021

Journal of Visual Culture

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The teleprompter, invented in 1948 as a memory aid for show business, has become a ubiquitous technology in modern politics. Yet, the hidden ways in which this device shapes our understanding of performance, newscasting, and political rhetoric are rarely studied by media scholars. Recognizing this lacuna, this article traces the evolution of the teleprompter from a cumbersome, human-operated device to an invisible system of screens designed to conceal its own existence. The teleprompter has not only shaped the standardization of speech, but also restructured the televised spectacle by collapsing the sonic, the tactile, and the optical. By focusing on teleprompter fiascos and moments of breakdown from President Eisenhower to President Trump, we make a broader argument regarding the importance of failure and the accidental to the study of visual culture.

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“…Indeed, historical analysis of the long and difficult process of training machines to hear speech clarifies the fact that hearing is more complex than a simple mechanical process, 'spectrographic data had to be further quantified and expressed mathematically in order for a machine to "objectively" discern patterns that were apparent to the "subjective scale" of the ear or eye' . 18 As Chapter 4 outlines, claiming to be able to measure hearing was largely a matter of technocratic control which was often at odds with the experience of those subjected to such measures.…”

Section: Disability Everywhere and Nowherementioning

confidence: 99%

Numbering normal

McGuire¹

2020

Measuring Difference, Numbering Normal

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In 1998, thousands of men and women in the United States woke up and found themselves changed. These individuals may have felt the same as they did the day before. They may have got out of bed, showered, made breakfast and driven to work as if it were any other day. Yet overnight they had become overweight. Some had become obese, others morbidly so. Still more had moved from the underweight category to become 'normal'. What kind of drastic vicissitudes had been realised to change so many bodies so rapidly? A sudden increase in nocturnal sleep-related eating disorders? Icing sugar falling like snow from the night sky? No: the National Institutes of Health (NIH) had changed the way the way that it measured Body Mass Index (BMI). Previously the United States had classified men with a BMI of 27.8 or above and women with a BMI of 27.3 or above as overweight. However, in 1998 it shifted the measurement down to 25, to fall in line with the World Health Organization's (WHO) standardised classification system and to allow for easier calculability. 1 In one fell swoop thousands more people in the US were obese. The media responded with panicked commentary about the obesity epidemic, without mentioning the artificial inflation of these new statistics. But why would they? It is perfectly natural to trust in the classification systems of scientists. Yet this example demonstrates that the thresholds of normalcy that we rely on for the classification of health are more fluid that we might imagine. In this book I argue that our bodies have been changed by measurement technology. Our capabilities and parameters have been defined so that we-youshift from states of normalcy to disability at the whim of mercurial thresholds. Disability history fascinates because it forces us to ask questions about our universal lived experience and how we ascribe meaning and significance to certain attributes and values. What should we be capable of ?

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Vocal Features: From Voice Identification to Speech Recognition by Machine

Cited by 41 publications

References 28 publications

Exploring biometric identification in FinTech applications based on the modified TAM

Exploring biometric identification in FinTech applications based on the modified TAM

Paper, glass, algorithm: teleprompters and the invisibility of screens

Numbering normal

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