Voice Chatbot for Hospitality
August 13, 2022 Β· Declared Dead Β· π Computer Science and Information Technology
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Sagina Athikkal, John Jenq
arXiv ID
2208.10926
Category
cs.HC: Human-Computer Interaction
Citations
7
Venue
Computer Science and Information Technology
Last Checked
4 months ago
Abstract
Chatbot is a machine with the ability to answer automatically through a conversational interface. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence devices transform human-computer bidirectional interactions that allow users to navigate an interactive voice response system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers' and guests' perspectives. We developed a hotel web application with the capability to receive a voice input. The application was developed with Speech recognition and deep synthesis API for voice to text and text to voice conversion, a closed domain question answering NLP solution was used for query the answer.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted