Use Of Speech Technology Research Articles

Implementation of artificial intelligence in speech (voice input) in the conditions of a high-flow endoscopy

Artificial intelligence (AI) and digitalization are used in all spheres of life, including medicine: in making diagnoses, in working with patients, in creating and using an Electronic Medical Record (EMC) for fast and accessible document management. Attempts have been made repeatedly to facilitate work with medical protocols. Technologies related to speech recognition are a promising direction in this area. The purpose of the research work was to optimize the time of writing the protocol using voice input. The object of the study was a template protocol of endoscopic examination. This work was carried out on the basis of 2 large endoscopic centers in Moscow, created as part of the pilot project of the DM within the framework of the colorectal cancer screening program in the Russian Federation in 2021. The software of the Voice2Med Speech Technology Center (MDG) was used to fill out the research protocol. Using mathematical calculations, 4 metrics were created to evaluate the work of the software: the time of protocol formation; the proportion of protocol formation time from the study; the level of speech recognition accuracy; satisfaction of doctors when working with technology. Standardized protocol templates for various nosologies related to voice commands have been developed; medical thesaurus. In the course of the work, the accuracy of speech recognition was investigated and improved. Control measurements of the time of writing the protocol were carried out. The results of the evaluation of the use of the technology by endoscopists were obtained - the time of protocol formation decreased by 29%, the evaluation of the work by endoscopists was positive. Thus, the use of speech technologies related to the formation of a doctor’s protocol “from the voice” is a promising direction for the further development of the IT sphere in practical medicine.

ANALYSIS OF INTERACTIVE VOICE SERVERS AND PARAPHRASES: APPLICATION TO THE CONSULTATION OF RESULTS

The introduction of voice as an additional form of communication to deploy applications has certainly revolutionized the world of computing and this constitutes a means of accessing information without a computer.This article deals with the problem of the oral modality as a means of interaction for a priori increased usability of the interactive system. We will present a typology of systems where the use of speech technologies could represent a real contribution for users in the communication between man and machine, and we will discuss the issue of voice interaction. Then, we will describe an application case based on the study of the implementation of an IVS for the consultation of the results of the examinations

Raising the Volume on Fairness in Speech Technology

Voice recognition has become the dominant tool for communication in our daily life by replacing the keyboard. Not surprisingly, however, this extraordinary technology comes with great risks and moral responsibilities. Over the past decade, the computer science literature has made great strides in advancing the accessibility and capability of speech technology, but lacks an understanding of the ethical implications of such tools for users and organizations. We argue that management scholars should consider how speech technology impacts fairness and ethical behavior in today’s organizations. In this paper, we provide an ethical analysis of potential risks to fairness in speech technology in the workplace. By analyzing these risks through the lenses of behavioral ethics and three dimensions of organizational fairness – distributive, procedural, interactional – this paper identifies several concerns relevant to the use of speech technology. We discuss these concerns and provide practical recommendations for promoting fairness in this context. Keywords: speech technology; distributive fairness; procedural fairness; interactional fairness; biometrics; deep fakes

Voice Control of Multiple Devices Based on Speech

Abstract This paper presents a system that employs the use of speech technology to control electronic devices attached to PC. The work in this paper is implemented in two major phases. Phase one is the software part of the system. Its role is to accept voice signal from a microphone attached to the PC and perform speech recognition on the signal, determine operating commands from the recognized phrases and control devices attached to the computer ports. Phase two is hardware logic circuit connected between the PC’s printer port and the devices being controlled. This logic circuit which is implemented using simple logic gates performs addressing and control mode for the electronic devices being controlled. The system runs on windows vista operating system and it is capable of authenticating users and validating their action. User response for the system is provided in both voice response and graphic display messages.

The Use of Speech Technology in Foreign Language Pronunciation Training

AbstractIn recent years the application of computer software to the learning process has been found to be an indisputably effective tool supporting the traditional teaching methods. Particular focus has been put on the application of techniques based on speech and language processing to the second language learning. Most of the commercial self-study programs, however, do not allow for introduction of an individualized learning course by the teacher and to concentrate on segmental features only. The paper discusses the use of speech technology in the training of foreign languages' pronunciation and prosody and defines pedagogical requirements for an effective training with CAPT systems. In this context, steps taken in the development of the intelligent tutoring system AzAR3.0 (German‘Automat for accent reduction’) in the scope of the Euronounce project (Cylwiket al., 2008) are described with the focus on creation of the linguistic content. In response to the European Union's call for promoting less widely spoken languages, the project focuses on German as a target language for native speakers of Polish, Slovak, Czech, and Russian, andvice versa. The paper presents the design of the speech corpus for the purpose of the tutoring system and the analysis of pronunciation errors. The results of the latter provide information which is important for Automatic Speech Recognition (ASR) training on the one hand, and for automatic error detection and feedback generation on the other hand. In the end, Pitch Line software for implementation in the prosody visualization and training module of AzAR3.0 tutoring system is described.

Acceptance of speech recognition by physicians: A survey of expectations, experiences, and social influence

The present study has surveyed physician views and attitudes before and after the introduction of speech technology as a front end to an electronic medical record. At the hospital where the survey was made, speech technology recently (2006–2007) replaced traditional dictation and subsequent secretarial transcription for all physicians in clinical departments. The aim of the survey was (i) to identify how attitudes and perceptions among physicians affected the acceptance and success of the speech-recognition system and the new work procedures associated with it; and (ii) to assess the degree to which physicians’ attitudes and expectations to the use of speech technology changed after actually using it. The survey was based on two questionnaires—one administered when the physicians were about to begin training with the speech-recognition system and another, asking similar questions, when they had had some experience with the system. The survey data were supplemented with performance data from the speech-recognition system. The results show that the surveyed physicians tended to report a more negative view of the system after having used it for some months than before. When judging the system retrospectively, physicians are approximately evenly divided between those who think it was a good idea to introduce speech recognition (33%), those who think it was not (31%) and those who are neutral (36%). In particular, the physicians felt that they spent much more time producing medical records than before, including time correcting the speech recognition, and that the overall quality of records had declined. Nevertheless, workflow improvements and the possibility to access the records immediately after dictation were almost unanimously appreciated. Physicians’ affinity with the system seems to be quite dependent on their perception of the associated new work procedures.

A Holistic Approach to the Introduction of Automatic Speech Recognition Technology in Ground Combat Vehicles

Recent advances in speech recognition technology prompt consideration of using machine recognition of human speech in a wider range of applications. Communication using speech recognition has a number of benefits. One area where this technology has only recently been considered is in military armored fighting vehicles during combat. A holistic approach to considering speech recognition in this form of transport is reported here by viewing this technology within the context of the cockpit resource management paradigm. This facilitated development of a function-based crew communication model. It is within this framework that the use of speech recognition in armored vehicles is evaluated. The use of speech technology led to a reduction in the total amount of communication taking place in the vehicle.

Multimodality — The Future of the Wireless User Interface

The wireless market is applying two conflicting requirements on mobile terminals — they must get smaller and lighter, yet at the same time they must also deliver more advanced multimedia applications. As the terminals shrink, screen size becomes limited and keypads must either occupy less space or vanish entirely. Meanwhile as the applications grow richer and more complex, the requirements to be able to control and interact with them only expand. How can these apparently contradictory goals be met? How can rich multimedia applications be controlled as the physical space for keypads shrinks or indeed vanishes? The answer lies in the use of speech technology. By using speech recognition, voice commands can supplement the use of a keypad/stylus, while audio output can deliver additional information that cannot fit on the screen. The multimodal interface, combining the best of voice-only and graphical user interfaces is the future of the wireless user interface. This paper looks at recent developments in multimodal interfaces and explores how they will affect the evolution of wireless applications.

Op weg Naar Geautomatiseerde Beoordeling van Spreekvaardigheid

In the vocational education of Dutch as a Second Language (DSL) there is a growing need for oral proficiency tests that are efficient to use. In this article, we describe ways to make use of speech technology for rating speech quality. In two experiments, the rating of DSL-speech is compared to automated rating of several aspects of the acoustic signal. The correlations found between human and automatic ratings were relatively high. For that reason a third experiment has been set up using speech items that are representative of commonly used oral proficiency tests in DSL and that can be rated automatically by a Continuous Speech Recogniser system. The results obtained so far are discussed.

Architecturally speaking: the use of speech technology in architectural design

Recent developments in speech technology now provide opportunities for improving productivity when using computer-assisted design systems. Confusing control codes can be entirely eliminated. The user has greater control over the operating environment than when using conventional keyboard systems. Speech input and output facilities can be integrated with other devices such as digitising tablets, plotters and touch-sensitive screens. The continuing reduction in price and the improvement in hardware and supporting software is encouraging a surge in Interest in speech-assisted systems. Once the scope for their use is fully recognised, it is anticipated that there will be a dramatic expansion of these facilities.

Response Modalities and Time-Sharing Performance

The recent development of speech technology has provided an opportunity for new approaches in display/control design. Some researchers have proposed that the use of speech can reduce resource competition with manual controls and improve multi-task performance. However, it has also been suggested that due to the heavy reliance on within-subject experimental designs, the research supporting the resource competition hypothesis was potentially contaminated by asymmetric transfer. The present study examined the value of speech responses as a control device in a dual-task experiment. The experimental design permitted the evaluation of asymmetric transfer effects. Despite numerous significant effects supporting the advantage of mixing manual and speech responses there was no statistically significant finding that suggested the occurrence of asymmetric transfer. Also, the value of speech output was demonstrated in between-subject analyses that were logically immune to asymmetric transfer effects. Therefore, although the possibility of asymmetric transfer remains a legitimate experimental design concern, it is not a sufficient explanation for the observed response modality effects. The present results supported the resource competition hypothesis of response modality effects, and suggested that in operational environments the judicious use of speech technology can enhance performance.

Stimulus-central processing-response compatibility: Guidelines for the optimal use of speech technology

With the emergence of speech technology as a viable display/control alternative, the question of guidelines is of importance. Stimulus-central processing-response (S-C-R) compatibility is proposed as a preliminary set of guidelines. S-C-R compatibility makes a two-part set of predictions about the best input/output (I/O) configuration for a task on the basis of the type of central processing that the task requires. For tasks with predominately spatial central processing demands, the best I/O configuration is predicted to be visual/manual. For tasks with predominately verbal central processing demands, the best I/O configuration is expected to be auditory/speech. A series of three experiments testing these predictions is reviewed. The results are interpreted as supporting the concept of S-C-R compatibility.