Talking Robot Research Articles

Current problems of using artificial intelligence inHR management in Kazakhstan

The article provides an understanding of artificial intelligence in the field of HR, and it is said that the digitization of the industry is reflected in the widespread use of artificial intelligence. The theory and history of the field of artificial intelligence is systematized by reviewing the works of researchers. The possibilities of using artificial intelligence are clarified and its efficiency is considered. As a result of the study, it was determined that artificial intelligence is used in four main categories in the field of HR, and it was found that there is a high demand for automated resume search, analysis, and selection services. At the same time, in order to invite candidates for a vacant position, including the identification of qualified talented employees, chatbots, Skype interviews, the use of information on online recruiting platforms such as HeadHunter, notification of vacancies at fairs, and pilot projects introduced by the state will be analyzed. The features of artificial intelligence programs introduced in the Kazakhstan labor exchange, and changes brought to the HR system, the advantages and disadvantages will be discussed. Especially as the most effective programs in the field of artificial intelligence in recent years: IBM's Deep Blue program, Alvinn program for driving, and Microsoft Application and Services Group's talking robot program, the importance of research on the specificity of programs in the field of medicine and pharmaceuticals will be analyzed and considered as examples of regional enterprises.

Digital Technology and Trends in Libraries

The purpose of this study is to demonstrate how technologies have permeated libraries and how well they work. Blockchain, robotics, drones, mobile apps, and big data are some of the major technology innovations that have been adopted and used in libraries. Examined in several of the author's studies. The areas in which the digital technology may be used in library operations and services were identified and discussed based on the author's following studies and cumulative examination of the literature that was available. According to the report, every technology has a place in libraries. Examples include the development of talking robots, flying books, and encrypted databases. Adoption of these technologies would contribute to a greater degree of improvement in library services.

AI Based Smart Robot (Chatbot) using Python

This research paper explores the development and functionality of the AI Based smart Robot, which includes an interactive chatbot. A chatbot, in its essence, is an artificially intelligence computer program that performs communication using the audio system, A chatbot, created with the Gemini API, is basically a talking robot that build using the Gemini API toolbox. This chatbot, it listens to your voice, understands what you're saying and give responds back to you. It develop to assistance to users. Additionally, the project’s application in Customer Service, Virtual Assistant, Healthcare, Education, Smart Home Control.

Far, Far Away, and: may day is lei day in Hawai'i

Far, Far Away, and: may day is lei day in Hawai'i Melissa Llanes Brownlee (bio) Far, Far Away The launch is beautiful, white plumes, spreading. We hold our breath, all of us little kids with stars and makapiapia in our eyes, hopes of Space Camp buzzing through our brains. We imagine zero G simulators and talking robots who help us fly to space. We woke up early before school, bowls of frosted flakes, Lucky Charms, Fruit Loops, Apple Jacks, Fruity Pebbles in our laps as we sat in front of our TVs, parents sitting on couches, sipping coffee. We learned there was a teacher onboard but we were cheering for the boy from Kona, the boy who became an astronaut. The boy we all wanted to be, even our parents. His own parents so proud, working in their general store on the mountain, handing out crack seed and kettle chips to us kids when we drove by in the back of our fathers' trucks. As we watch him fly higher, our dreams follow him, one day we would be working on space stations, mining the moon, flying to the asteroids and Saturn and Jupiter and maybe even one day another galaxy, far, far away. We dip our spoons into our bowls as the sky parts. [End Page 34] may day is lei day in Hawai'i plumeria strangle Tita's neck, pink, white, yellow petals, plucked the night before from the neighbor's tree, its branches dangling across their fence and over the sidewalk, their smell invading her sunstroked nostrils, piercing her may day haze of queen and princesses and bazaar foods of pickle mango, malasadas, stone cookies, hot dogs, and she shakes her unbrushed hair, hearing her mother how you going leave the house, looking down at her favorite rainbow t-shirt, the edges frayed, and hefts her school ukulele, readying for her grade's performance of a medley of the islands, the koa edges soft and hard against her bare thighs, her okole still sore from the last you better, her knees scabbed from flying from the tallest swing on the playground, 'my dog has fleas' singing in her ears [End Page 35] Melissa Llanes Brownlee Melissa Llanes Brownlee (she/her), a native Hawaiian writer, living in Japan, has work published or forthcoming in SmokeLong Quarterly, Gigantic Sequins, The Rumpus, and Indiana Review, as well as her books Hard Skin (Juventud Press, 2022) and Kahi and Lua (Alien Buddha Press, 2022). She tweets @lumchanmfa and talks story at www.melissallanesbrownlee.com. Copyright © 2023 University of Wisconsin Board of Regents

Actively listening twin robots for long-duration conversation with the elderly

The number of isolated elderly people with few opportunities to talk to other people is currently increasing. Research is ongoing to develop talking robots for addressing the situation. The aim of the present study was to develop a talking robot that could converse with elderly people over an extended period. To enable long-duration conversation, we added a previously proposed active listening function for twining the robot dialogue system to prompt the user to say something. To verify the effectiveness of this function, a comparative experiment was performed using the proposed robot system and a control system with identical functions except the active listening function. The results showed that the conversation of the elderly subjects with the proposed robot system was significantly more than that with the control system. The capability of the developed robot system was further demonstrated in a nursing home for the elderly, where its conversation durations with different residents were measured. The results revealed that the robot could converse for more than 30 min with more than half of the elderly subjects. These results indicate that the additional function of the proposed talking robot system would enable elderly people to talk over longer periods of time.

Artificial intelligence

Artificial Intelligence (AI) is a rapidly growing field; one that is mysterious to the general public. The mention of the word AI fills the imaginations of many with thoughts of talking robots, jobs being replaced, and possibly even the destruction of mankind. Perhaps imaginations are running wild due to, perhaps driven by the loose definition of AI as systems able to perform tasks that normally require human intelligence that allows Hollywood to take some creative license. The experts in the field tend to work directly with AI and often for large companies, allowing for the imagination and news headlines to be where the public gets their information. Many wonder if this new technology is going to be an overall benefit to society or if it will bring unmitigated disaster. When the imagination runs wild, instead of understanding, news stories can perpetuate concerns and anxieties rather than hope and optimism.

Simplified cerebellum-like spiking neural network as short-range timing function for the talking robot

ABSTRACTIn human speech, the timing function is important for determining its duration, stress and rhythm; however, little attention has been paid to these issues when building a speech synthesis system. In the human brain, the cerebellum plays a key role in the coordination, precision and timing of motor responses. We have developed a talking robot, which generates human-like vocal sounds using a simplified cerebellum-like neural network model as the timing function. The model was designed using the System Generator software in Matlab environment and the timing duration of trained speech was estimated using hardware co-simulated with a field programmable gate array board (FPGA). The timing information obtained from the co-simulation, together with the output motor vector, is sent to the talking robot controller in order to generate vowels of short, medium and long duration. Using this model for short-range timing of less than 1200 milliseconds, we verify that the short-range learning capability of the cerebellar-like neural network is applicable to the speaking robot for generating a human-like speech with prosodic features.

Language Art in the Age of Panophonia

This article calls attention to the hybrid genre of voice-based performances and its blending of the supposed binaries of human and machinic speech. Using the concept of panophonia, the author refers to the animatronic sculptures of speaking figures created by Ken Feingold and to Mark Böhlen’s talking robots. Through their comparative analysis, the author explores different poetic metalanguages both artists create to deconstruct communicative structures that demarcate post-human era.

A Talking Robot and Its Real-Time Interactive Modification for Speech Clarification

The authors are developing a talking robot based on the physical model of human vocal organs in order to reproduce human speech mechanically. This study focuses on developing a real-time interface ...

Automatic Vowel Sequence Reproduction for a Talking Robot Based on PARCOR Coefficient Template Matching

This paper describes an automatic vowel sequence reproduction system for a talking robot built to reproduce the human voice based on the working behavior of the human articulatory system. A sound analysis system is developed to record a sentence spoken by a human (mainly vowel sequences in the Japanese language) and to then analyze that sentence to give the correct command packet so the talking robot can repeat it. An algorithm based on a short-time energy method is developed to separate and count sound phonemes. A matching template using partial correlation coefficients (PARCOR) is applied to detect a voice in the talking robot's database similar to the spoken voice. Combining the sound separation and counting the result with the detection of vowels in human speech, the talking robot can reproduce a vowel sequence similar to the one spoken by the human. Two tests to verify the working behavior of the robot are performed. The results of the tests indicate that the robot can repeat a sequence of vowels spoken by a human with an average success rate of more than 60%.

Smart talking robot Xiaotu: participatory library service based on artificial intelligence

Purpose – The purpose of this paper is to introduce a participatory library service based on artificial intelligence (AI). Design/methodology/approach – AI technologies and various technologies for facilitating the use of the currently existing libraries and the third-party resources are combined in the new mobile and social networking environments to provide an innovative real-time virtual reference service. Special aesthetic design and library marketing measures are adopted to expand the gains of the service. Questionnaire survey, in-depth interview, and statistical analysis are conducted to evaluate the effects of the service. Findings – A smart talking robot called Xiaotu (female) is developed. This robot is regarded as a promising new online reference service modus operandi. Four factors contribute to the success of the robot, namely, AI, self-learning, vivid logo and language, and modular architecture. Practical implications – Xiaotu presents a participatory library service, in which users participate in the resources collection and become content co-creators. Her presence at anytime and anywhere on any kind of terminal maximizes her potential for the delivery of virtual reference services. Xiaotu has the potential to be a general reference robot or a costumed institute robot. Originality/value – AI is adopted in libraries to form an innovative online reference service. The participatory library service is practiced through a high-featured interactive communication. The aesthetic design of Xiaotu and the related promotions are new in libraries as well.

A Talking Robot and the Expressive Speech Communication with Human

A Talking Robot and the Expressive Speech Communication with Human

ASEに基づく相槌によるロボットとの対話体験の向上

In this paper, we describe an investigation into users' experiences of a simple talking robot with back-channel feedbacks that is designed based on an artificial subtle expression (ASE). In the experiments with participants, they are divided into six conditions based on an expression factor (three levels; human-like speech, blinking light, and beeping sound) and a timing decision method factor (two levels; a linguistic method and an acoustic method) for investigating participants' impressions on the dialogue experience. We developed an electric pedestal to show the blinking expression, on which a simple cubic robot was fixed. Participants engaged in a task of explaining a cooking procedure with a spoken dialogue system coupled with the robot on the pedestal. The robots responded to them by making the back-channel feedbacks in accordance with the expression factor. The results of questionnaire analyses suggested that the ASE-based expressions of back-channel feedback provide positive experiences for users.

Production of Various Vocal Cord Vibrations Using a Mechanical Model for an Anthropomorphic Talking Robot

We developed a three-dimensional mechanical vocal cord model for Waseda Talker No. 7 (WT-7), an anthropomorphic talking robot, for generating speech sounds with various voice qualities. The vocal cord model is a cover model that has two thin folds made of thermoplastic material. The model self-oscillates by airflow exhausted from the lung model and generates the glottal sound source, which is fed into the vocal tract for generating the speech sound. Using the vocal cord model, breathy and creaky voices, as well as the modal (normal) voice, were produced in a manner similar to the human laryngeal control. The breathy voice is characterized by a noisy component mixed with the periodic glottal sound source and the creaky voice is characterized by an extremely low-pitch vibration. The breathy voice was produced by adjusting the glottal opening and generating the turbulence noise by the airflow just above the glottis. The creaky voice was produced by adjusting the vocal cord tension, the sub-glottal pressure and the vibration mass so as to generate a double-pitch vibration with a long pitch interval. The vocal cord model used to produce these voice qualities was evaluated in terms of the vibration pattern as measured by a high-speed camera, the glottal airflow and the acoustic characteristics of the glottal sound source, as compared to the data for a human.

Where are the Talking Robots?

Teaching a machine to speak has been a dream for decades. First we have to figure out how we know what we know about language

Voice articulatory training with a talking robot for the auditory impaired

The authors have developed a vocalization training system for the auditory impaired using a talking robot. The training system mainly consists of a talking robot that has mechanical organs like a human. With an adaptive learning strategy using an auditory feedback control, the robot autonomously learns the vocalization, and then reproduces the speech articulation from inputted sounds. In the previous system, the speech-learning algorithm of the robot was constructed by employing a self-organizing neural network (SONN), which consists of the combination of a self-organizing map (SOM) and a neural network (NN). However, improper maps were occasionally generated in the results of the speech articulation learning. To solve this problem, a new algorithm introducing two three-dimensional SOMs, called a dual-SOM, was employed for the autonomous learning of the robotic articulations. By applying the robot and its properties, we have constructed an interactive training system. The training is divided into two approaches; one is to use the talking robot to show the shape and the motion of the vocal organs, and the other is to use a topological map to present the difference of phonetic features of a trainee’s voices. In this study, first, the construction of the training system is described together with the autonomous learning of robotic vocalization using the dual-SOM algorithm, and then the analysis of the speech training progress is presented based on the phonetic features and the mechanical vocal articulations.

Autonomous Voice Acquisition of a Talking Robot Based on Topological Structure Learning by Applying Dual-SOM

This paper presents the method of autonomous voice acquisition for a talking robot by applying a dual-SOM. We have so far developed the talking robot, which has mechanical organs as a human. By applying an auditory feedback control, the robot autonomously learns the vocalization skill. For the autonomous learning method, a Self Organizing Neural Network (SONN) by combining a Self-Organizing Map (SOM) with a Neural Network (NN) was employed. The SONN had 2-dimensional mapping space, which was used to locate phonetic features of voices generated by the robot. By choosing cells on the map, voice articulations were autonomously recreated. However, due to the spatial restriction of the map, the voice transition from one vocal sound to another was not always recreated properly. To solve the problems, a dual-SOM, the combination of a phonetic-SOM and a motor-SOM, both of which have 3 dimensional mapping spaces, is introduced. The structure of the dual-SOM is firstly described, and then acquired vocal sounds are evaluated, together with the analysis of the behavior of the SOM.

Control of Anthropomorphic Talking Robot based on Human Articulatory Movement Data(<Feature Article>Methodology for Speech Physiology Research)

Control of Anthropomorphic Talking Robot based on Human Articulatory Movement Data(<Feature Article>Methodology for Speech Physiology Research)

A talking robot and the interactive speech training for hearing‐impaired.

A speech trainer employing a talking robot for auditory‐impaired people will be introduced. The talking robot consists of mechanically‐designed vocal organs such as a vocal tract, a nasal cavity, artificial vocal cords, and a sound analyzer with a microphone system, and the mechanical parts are fully controlled by ten servomotors for generating humanlike voices. The robot autonomously learns the relation between motor control parameters and the generated vocal sounds by an auditory feedback control, in which a Self‐organizing neural network is employed for the adaptive learning. By employing the robot and its properties, the authors have constructed an interactive speech training system. The training is divided into two approaches; one is to use the robot for showing the shape and the motion of the vocal organs, and the other is to use a topological map for presenting the difference of phonetic features of a traine’s voices. While referring to the robot motions and the phonetic characteristics, a trainee ...

Three‐dimensional mechanical tongue and vocal cord models for human speech production.

We have developed talking robot Waseda Talker series, which mimicked human speech production mechanism. This robot is consisted of mechanical vocal cords, tongue, lips, and nasal cavity. The current version, WT‐7R (Waseda Talker No. 7 Refined), has 16 DOF (7 DOF in tongue, 1 DOF in jaw, 4 DOF in lips, 1 DOF in velum, 2 DOF in vocal cords, and 1 DOF in lung), having same vocal tract length as average adult male. The mechanical vocal cord model is made of styrene based thermoplastic elastomer “Septon” and the shape is mimicking vocal folds of human with three dimensions. The vocal code model has pitch control mechanism by adjusting the cord tension and glottal opening‐closing mechanism, and it could reproduce the vocal cord vibration of the vocal fry (double pitched) and the breathy voice (unclose in one cycle) as well as the modal voice with variable pitch. The three‐dimensional tongue model is constructed by the rigid link mechanism covered by the Septon soft rubber. The tongue model could be controlled so as to configure the tongue shape in a three‐dimensional way. We will describe the details of the mechanism of talking robot by showing some demonstration videos.