A Multimodal Approach to Improve Performance Evaluation of Call Center Agent
The paper proposes three modeling techniques to improve the performance evaluation of the call center agent. The first technique is speech processing supported by an attention layer for the agent’s recorded calls. The speech comprises 65 features for the ultimate determination of the context of the...
Saved in:
| Main Author: | Ahmed , Abdelrahman (author) |
|---|---|
| Other Authors: | Shaalan, Khaled (author), Toral, Sergio (author), Hifny, Yasser (author) |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://bspace.buid.ac.ae/handle/1234/3034 https://doi.org/10.3390/s21082720. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks
by: Ahmed , Abdelrahman
Published: (2020) -
Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM)
by: AL SHOUBAKI, HAMZA YOUNIS
Published: (2024) -
Effective Fault Detection and Diagnosis for Power Converters in Wind Turbine Systems Using KPCA-Based BiLSTM
by: Zahra Yahyaoui (17821208)
Published: (2022) -
Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center
by: Kandil, Ayman
Published: (2024) -
Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers
by: Syed Aun Muhammad Zaidi (22225033)
Published: (2024)