Implementation of a Bilingual Participative Argumentation Web Platform for collection of Spanish Text and Quechua Speech

Guzman, Yudi; Tavara, Alexis; Zevallos, Rodolfo; Huerta, Hugo Vega

doi:10.1109/icecce52056.2021.9514251

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…It should also be considered that to generate important improvements in management, it is important to implement collaborative motivation strategies both within the organization and in the relationship with customers [18]. It is also important to collect, through surveys, the opinions of customers about our services [19].…”

Section: Introductionmentioning

confidence: 99%

System Based on Market Segmentation to Improve the Export of Peruvian Coffee

Yllescas¹,

Vega²,

Cruz³

et al. 2022

EBM

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In 2021 Peru exported 250 thousand tons of coffee, ranking seventh among the main coffee exporters in the world compared to the 4,000 thousand tons exported by Brazil, which ranks first. This research project aims to optimize coffee export processes through the development of management software for these exporting companies that allows them to have optimized processes, better control of their activities and make better decisions when exporting. Due to the great variety of types of coffee and the different destination markets, market segmentation was defined as a marketing strategy, which will allow the application of differentiated, efficient and effective commercial strategies. With the implemented software, the companies have been able to improve their export processes, the complexity of the different objectives and scenarios, the software plans quite accurately, as well as the calendar, volumes, and types of coffee to be exported. This helps coffee exporters to have adequate control of their activities and improve export processes, being more efficient and above all, making better decisions based on the information stored; With the use of a management tool, a higher percentage of organized producers is achieved, the export process is considerably improved and there is a greater participation in the international market.

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Section: Introductionmentioning

confidence: 99%

System Based on Market Segmentation to Improve the Export of Peruvian Coffee

Yllescas¹,

Vega²,

Cruz³

et al. 2022

EBM

Self Cite

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Support in the Neurorehabilitation for Older People Using a Mobile Application

Velez-Villanueva,

Vega-Huerta,

De-La-Cruz

et al. 2023

Proceedings of 7th ASRES International Conference on Intelligent Technologies

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A speech corpus of Quechua Collao for automatic dimensional emotion recognition

et al. 2022

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Automatic speech emotion recognition is an important research topic for human-computer interaction and affective computing. Over ten million people speak the Quechua language throughout South America, and one of the most known variants is the Quechua Collao one. However, this language can be considered a low resource for machine emotion recognition, creating a barrier for Quechua speakers who want to use this technology. Therefore, the contribution of this work is a 15 hours speech corpus in Quechua Collao, which is made publicly available to the research community. The corpus was created from a set of words and sentences explicitly collected for this task, divided into nine categorical emotions: happy, sad, bored, fear, sleepy, calm, excited, angry, and neutral. The annotation was performed on a 5-value discrete scale according to 3 dimensions: valence, arousal, and dominance. To demonstrate the usefulness of the corpus, we have performed speech emotion recognition using machine learning methods and neural networks.

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Implementation of a Bilingual Participative Argumentation Web Platform for collection of Spanish Text and Quechua Speech

Cited by 3 publications

References 13 publications

System Based on Market Segmentation to Improve the Export of Peruvian Coffee

System Based on Market Segmentation to Improve the Export of Peruvian Coffee

Support in the Neurorehabilitation for Older People Using a Mobile Application

A speech corpus of Quechua Collao for automatic dimensional emotion recognition

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