基于语音的越南服务质量多模态管道
计算机与社会
2024-12-19 v2
摘要
在数字经济的客户服务演变背景下，传统的服务质量评估方法显示出显著的局限性。本研究提出一种新型深度学习方法，用于服务质量评估，专注于越南服务部门。通过利用超越传统评估方法的多模态管道，本研究解决了传统评估方法的局限性，通过分析语音、说话者互动和情感内容，提供了更全面和客观地理解客户服务互动的手段。这旨在为组织提供一个精细化的工具，用于评估和改进数字经济中的服务质量。
引用
@article{arxiv.2412.09829,
title = {Speech-based Multimodel Pipeline for Vietnamese Services Quality Assessment},
author = {Quang-Anh N. D. and Minh-Duc Pham and Thai Kim Dinh},
journal= {arXiv preprint arXiv:2412.09829},
year = {2024}
}
备注
I am writing to request the withdrawal of my preprint due to the discovery of significant inaccuracies in the results. These errors could mislead future research and applications, which compromises the integrity of my work. I believe withdrawing the paper is essential to uphold scientific standards and prevent the dissemination of misleading information. Thank you for your understanding