Classification of emotions and evaluation of customer satisfaction from speech in real world acoustic environments

LF Parra-Gallego, JR Orozco-Arroyave - Digital Signal Processing, 2022‏ - Elsevier
This paper focuses on finding suitable features to robustly recognize emotions and evaluate
customer satisfaction (CS) from speech in real acoustic scenarios. The classification of …

Can we predict self-reported customer satisfaction from interactions?

J Auguste, D Charlet, G Damnati… - ICASSP 2019-2019 …, 2019‏ - ieeexplore.ieee.org
In the context of contact centers, customers' satisfaction after a conversation with an agent is
a critical issue which has to be collected in order to detect problems and improve quality of …

Text analytics for customer satisfaction prediction: A case study in the banking domain

G Hristova - AIP Conference Proceedings, 2022‏ - pubs.aip.org
Customer centricity is key to the success of modern business companies. Recently, a lot of
attention has been paid on machine learning methods for customer satisfaction analysis and …

Multimodal evaluation of customer satisfaction from voicemails using speech and language representations

LF Parra-Gallego, T Arias-Vergara… - Digital Signal …, 2025‏ - Elsevier
Customer satisfaction (CS) evaluation in call centers is essential for assessing service
quality but commonly relies on human evaluations. Automatic evaluation systems can be …

Automated conversation review to surface virtual assistant misunderstandings: Reducing cost and increasing privacy

I Beaver, A Mueen - Proceedings of the AAAI Conference on Artificial …, 2020‏ - ojs.aaai.org
With the rise of Intelligent Virtual Assistants (IVAs), there is a necessary rise in human effort
to identify conversations containing misunderstood user inputs. These conversations …

[HTML][HTML] Aspect-based automated evaluation of dialogues

A Shabanpour, Z Hou, A Husnoo, KL Nguyen… - Knowledge-Based …, 2023‏ - Elsevier
Evaluating human dialogue is a complex task, as our conversation are never structured.
There are, however, cases where there is some structure in our conversation, eg, in a typical …

An annotated corpus of relational strategies in customer service

I Beaver, C Freeman, A Mueen - arxiv preprint arxiv:1708.05449, 2017‏ - arxiv.org
We create and release the first publicly available commercial customer service corpus with
annotated relational segments. Human-computer data from three live customer service …

Automated conversation review to surface virtual assistant misunderstandings

I Beaver - US Patent 11,436,416, 2022‏ - Google Patents
(57) ABSTRACT A scalable system provides automated conversation review that can
identify potential miscommunications. The system may provide suggested actions to fix …

[PDF][PDF] Online Proactive Escalation in Multi-Modal Automated Assistants.

C Freeman, I Beaver - FLAIRS, 2017‏ - cdn.aaai.org
Existing research on escalation recommendation often relies on acoustic features,
obtainable in Spoken Dialog Systems (SDS). It is less understood how multi-modal dialog …

Modeling Customer Experience in a Contact Center through Process Log Mining

T Fu, G Zampieri, D Hodgson, C Angione… - ACM Transactions on …, 2021‏ - dl.acm.org
The use of data mining and modeling methods in service industry is a promising avenue for
optimizing current processes in a targeted manner, ultimately reducing costs and improving …