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Your search keyword '"Speech recognition software -- Analysis"' showing total 11 results
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11 results on '"Speech recognition software -- Analysis"'

1. Study Findings on Education Are Outlined in Reports from University of Helsinki (Catalyst for co-construction: the role of AI-directed speech recognition technology in the self-organization of knowledge)

Subjects
School construction -- Analysis, Voice recognition -- Analysis, Speech recognition software -- Analysis, Knowledge -- Analysis, Education -- Finland, Voice recognition software, Education, News, opinion and commentary, University of Helsinki
Abstract

2023 SEP 27 (VerticalNews) -- By a News Reporter-Staff News Editor at Education Letter -- Data detailed on education have been presented. According to news originating from Helsinki, Finland, by [...]

Published
2023

2. Evaluating the Adoption of Voice Recognition Technology for Real-Time Dictation in a Rural Healthcare System: A Retrospective Analysis of Dragon Medical One

Subjects
Marshfield Clinic, Voice recognition -- Analysis, Speech recognition software -- Analysis, Voice recognition software, Health
Abstract

2022 AUG 12 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- According to news reporting based on a preprint abstract, our journalists obtained the [...]

Published
2022

3. Audio-visual group recognition using diffusion maps

Author

Keller, Y., Coifman, R. R., Lafon, S., and Zucker, S. W.

Subjects
Laplace transformation -- Usage, Noise reduction systems (Electronics) -- Analysis, Signal processing -- Analysis, Speech recognition software -- Analysis, Digital signal processor, Voice recognition software, Business, Computers, Electronics, Electronics and electrical industries
Published
2010

4. Arabic speech pathology therapy computer aided system

Author

Benselama, Z.A., Guerti, M., and Bencherif, M.A.

Subjects
Algorithms -- Usage, Computer-aided software engineering -- Analysis, Speech recognition software -- Analysis, Algorithm, Voice recognition software, Computers
Abstract

This article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree of evolution of the illness or the therapy. We dealt with the Arabic occlusive sigmatism as a prime approach, which is the inability to pronounce the[s] or [[integral]]. Results obtained are satisfying and the therapy program is prepared, for autonomous use by patients, for deep analysis and verifications. Keywords: Word segmentation, phoneme recognition, HMM/GMM, ANN, INTRODUCTION Computer aided therapy software is a new concept. in the field of medicine, specially in the speech process, It is an orientation to the introduction of different algorithms in [...]

Published
2007

5. Reports from Shijiazhuang University Advance Knowledge in Data Analytics (Design and Implementation of Embedded Real-Time English Speech Recognition System Based on Big Data Analysis)

Subjects
Digital integrated circuits -- Analysis, Voice recognition -- Analysis, Big data -- Analysis, Speech recognition software -- Analysis, Programmable logic array, Voice recognition software, Biological sciences, Health
Abstract

2021 SEP 28 (NewsRx) -- By a News Reporter-Staff News Editor at Life Science Weekly -- Current study results on data analytics have been published. According to news originating from [...]

Published
2021

6. Economics of Radiology Report Editing Using Voice Recognition Technology

Author

Reinus, William R.

Subjects
Voice recognition -- Analysis, Speech recognition software -- Analysis, Econometric models -- Analysis, Voice recognition software, Health
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jacr.2007.07.011 Byline: William R. Reinus Keywords: Voice recognition; dictation; economics; model; transcription Abstract: As voice recognition technology takes hold in radiology practices, independent and hospital-based practices are faced with a decision of who should be responsible for the report-editing process, radiologists or transcriptionists. Although a radiologist's time is expensive compared with a transcriptionist's, if certain other conditions prevail, it may be possible to eliminate transcriptionists from the report generation process. Among these conditions are political, budgeting, psychosocial, and economic constraints. The author presents an econometric model that examines the economic issues involved in such a decision. Practices, both academic and private, can use this model to help determine which course of action makes the most economic sense. This is not always obvious. Author Affiliation: Department of Radiology, Temple University Medical Center, Philadelphia, Pennsylvania

Published
2007

7. VoiceXML and instant messaging

Author

Yudkowsky, Moshe

Subjects
Technology application, XML, Instant messaging technology, Voice recognition software, XML (Document markup language) -- Analysis, XML (Document markup language) -- Technology application, Instant messaging -- Analysis, Instant messaging -- Technology application, Speech recognition software -- Analysis, Speech recognition software -- Technology application
Published
2004

8. Reports from Polytechnic University of Catalonia Provide New Insights into Architecture and Code Optimization (Design and Evaluation of an Ultra Low-power Human-quality Speech Recognition System)

Subjects
Voice recognition -- Analysis, Speech recognition software -- Analysis, Voice recognition software, Computers, News, opinion and commentary
Abstract

2021 JAN 27 (VerticalNews) -- By a News Reporter-Staff News Editor at Computer Weekly News -- Researchers detail new data in Architecture and Code Optimization. According to news reporting out [...]

Published
2021

9. Warehouses: All ears

Author

Hoffman, William

Subjects
Warehousing -- Analysis, Warehousing -- Usage, Speech recognition software -- Analysis, Speech recognition software -- Usage, Voice recognition software, Business, Business, general, Business, international
Abstract

Kenneth B. Ackerman writes a lot about warehousing and technology using voice recognition software, but he'd never send out a letter he's dictated without first having it proofread. 'I was [...]

Published
2008

10. Dictation software claims 99% accuracy rate, but I bog to duffer

Author

Baig, Edward C.

Subjects
Nuance Communications -- Product information, Accuracy and precision -- Analysis, Computer software industry -- Product information, Speech recognition software -- Analysis, Voice recognition software, News, opinion and commentary
Abstract

Byline: Edward C. Baig There's always been something magical about speech-recognition software such as Nuance Communications' Dragon NaturallySpeaking. It's cool to use your voice instead of a mouse and keyboard [...]

Published
2010

11. Under fire, Belgian speech software maker files for bankruptcy

Author

Gaither, Chris

Subjects
Software quality, Company financing, Company bankruptcy, Voice recognition software, Lernout & Hauspie Speech Products N.V. -- Finance, Software -- Analysis, Computer software industry -- Finance -- Analysis, Speech recognition software -- Analysis, Bankruptcy -- Analysis
Abstract

Facing scrutiny on accounting irregularities and lawsuits from both sides of the Atlantic, Lernout & Hauspie Speech Products N.V., a Belgian maker of speech-recognition software, filed for Chapter 11 bankruptcy […]

Published
2000

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