Construction of crowdsourcing environment for creation of voice interaction scenario

2014 ◽  
Author(s):  
Yuichi Matsushita ◽  
Takahiro Uchiya ◽  
Ryota Nishimura ◽  
Daisuke Yamamoto ◽  
Ichi Takumi
Keyword(s):  
Voice Interaction

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

Robust voice user interface for internet-of-things

2021 ◽  
pp. 1-16
Author(s):  
Abdelaziz A. Abdelhamid ◽  
Sultan R. Alotaibi
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Smart Devices ◽  
Voice User ◽  
Voice Interaction ◽  
Device Interaction ◽  
Computational Resources ◽  
Human Device

Internet of things (IoT) plays significant role in the fourth industrial revolution and attracts an increasing interest due to the rapid development of smart devices. IoT comprises factors of twofold. Firstly, a set of things (i.e., appliances, devices, vehicles, etc.) connected together via network. Secondly, human-device interaction to communicate with these things. Speech is the most natural methodology of interaction that can enrich user experience. In this paper, we propose a novel and effective approach for building customized voice interaction for controlling smart devices in IoT environments (i.e., Smart home). The proposed approach is based on extracting customized tiny decoding graph from a large graph constructed using weighted finite sates transducers. Experimental results showed that tiny decoding graphs are very efficient in terms of computational resources and recognition accuracy in clean and noisy conditions. To emphasize the effectiveness of the proposed approach, the standard Resources Management (RM1) dataset was employed and promising results were achieved when compared with four competitive approaches.

Deep Semantics Sorting of Voice Interaction-Enabled Industrial Control System

2021 ◽  
pp. 1-1
Author(s):  
Ke Wang ◽  
Chien-Ming Chen ◽  
Mohammad S. Obaidat ◽  
Saru Kumari ◽  
Sachin Kumar ◽  
...  
Keyword(s):  
Control System ◽  
Industrial Control System ◽  
Industrial Control ◽  
Voice Interaction

eCRM Marketing Intelligence in a Manufacturing Environment

2010 ◽  
pp. 1244-1250
Author(s):  
Aberdeen Leila Borders ◽  
Wesley J. Johnston ◽  
Brett W. Young ◽  
Johnathan Yehuda Morpurgo
Keyword(s):  
Customer Relationship Management ◽  
Word Of Mouth ◽  
Relationship Management ◽  
Customer Relationships ◽  
Customer Relationship ◽  
Face To Face ◽  
Service Information ◽  
Marketing Intelligence ◽  
Management Techniques ◽  
Voice Interaction

This article examines the issue of electronic customer relationship management (eCRM) in a manufacturing context. ECRM has been described as the fusion of a process, a strategy, and technology to blend sales, marketing, and service information to identify, attract, and build partnerships with customers (Bettis-Outland & Johnston, 2003; Jaworski & Jocz, 2002). Although some customers still pay a premium for face-to-face or voice-to-voice interaction in today’s hightech world, through external (e.g., advertising) and internal (e.g., word-of-mouth) influence, the diffusion of the use of eCRM to build and sustain customer loyalty as a firm’s strategy is on the rise. Manufacturers use the knowledge of their customers’ needs and preferences to manage profitable customer interactions. This increased use of eCRM as a new manifestation (technological consolidation) of firmly established customer relationship management techniques has been shown to improve customer relationships and enhance customization (Kennedy, 2006).

Voice-Enabled User Interfaces for Mobile Devices

2009 ◽  
pp. 3494-3510
Author(s):  
Louise E. Moser ◽  
P. M. Melliar-Smith
Keyword(s):  
Mobile Device ◽  
User Interfaces ◽  
Prototype System ◽  
Voice Input ◽  
Voice Mail ◽  
Weather Information ◽  
Multimodal Interactions ◽  
Program Manager ◽  
Voice Interaction ◽  
Client Side

The use of a voice interface; along with textual; graphical; video; tactile; and audio interfaces; can improve the experience of the user of a mobile device. Many applications can benefit from voice input and output on a mobile device; including applications that provide travel directions; weather information; restaurant and hotel reservations; appointments and reminders; voice mail; and e-mail. We have developed a prototype system for a mobile device that supports client-side; voice-enabled applications. In fact; the prototype supports multimodal interactions but; here; we focus on voice interaction. The prototype includes six voice-enabled applications and a program manager that manages the applications. In this chapter we describe the prototype; including design issues that we faced; and evaluation methods that we employed in developing a voice-enabled user interface for a mobile device.

A VoIP-based voice interaction system for a virtual telephone operator using video calls

2014 ◽  
Author(s):  
Ryota Nishimura ◽  
Koji Sugiokay ◽  
Daisuke Yamamoto ◽  
Takahiro Uchiya ◽  
Ichi Takumi
Keyword(s):  
Interaction System ◽  
Voice Interaction
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