2022
DOI: 10.1109/access.2022.3164419
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Speech Recording for Dietary Assessment: A Systematic Literature Review

Abstract: Traditional methods of capturing people's dietary intake are complex and labour-intensive, requiring a high level of literacy and time. Speech recording has potential to reduce these barriers, and recent technological advances have greatly increased the viability of this approach. The aim of this paper is to establish the current state of research on the usage of speech records in dietary assessment. To this end, we performed a systematic literature review and summarised the current state of research along a c… Show more

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Cited by 4 publications
(2 citation statements)
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“…By converting spoken human language into written text or translating it into specific actions. The ASR technology heavily relies on complex algorithms and machine learning (ML) methods to accurately decipher spoken words and interpret their intended meaning [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. With its ability to understand and respond to human speech, VRT opens up a world of possibilities for hands-free communication in several industries [17].…”
Section: About Voice Recognition Technologymentioning
confidence: 99%
“…By converting spoken human language into written text or translating it into specific actions. The ASR technology heavily relies on complex algorithms and machine learning (ML) methods to accurately decipher spoken words and interpret their intended meaning [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. With its ability to understand and respond to human speech, VRT opens up a world of possibilities for hands-free communication in several industries [17].…”
Section: About Voice Recognition Technologymentioning
confidence: 99%
“…The increasing use of mobile phones leads to the growth of mobile applications, but some of these applications lack usability due to mismatches between user interface design and user skills, expectations, and needs, especially in rural areas [11], [12], [13], [14], [15], [16], [17]. Designing mobile interfaces poses challenges due to individual factors and user diversity [18], conflicts between mobile design and user need [19], [20], and unfamiliarity with interfaces [21], especially among elderly and female users [18]. Data entry methods pose challenges in designing mobile user interfaces [22].…”
Section: Introductionmentioning
confidence: 99%