Results 91 to 100 of about 275,421 (290)

Automatic speech recognition and speech variability: A review

Speech Communication, 2007
Major progress is being recorded regularly on both the technology and exploitation of automatic speech recognition (ASR) and spoken language systems. However, there are still technological barriers to flexible solutions and user satisfaction under some circumstances.
BENZEGHIBA M., DE MORI R., DEROO O., DUPONT S., ERBES T., JOUVET D., FISSORE L., LAFACE, Pietro, MERTINS A., RIS C., ROSE R., TYAGI V., WELLEKENS C.   +12 more
openaire   +4 more sources

Adult Education Confronting White Christian Nationalism: A Thematic Analysis

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT As a way to conclude, this article elaborates key themes that emerged from the collected articles in this volume. Each article carries its own important message about the role of adult education in confronting White Christian nationalism, while here, Prins and Carr‐Chellman offer a thematic interpretation of the volume as a whole. These themes
Esther Prins, Davin Carr‐Chellman
wiley   +1 more source

ACOUSTIC SPEECH RECOGNITION FOR MARATHI LANGUAGE USING SPHINX

ICTACT Journal on Communication Technology, 2016
Speech recognition or speech to text processing, is a process of recognizing human speech by the computer and converting into text. In speech recognition, transcripts are created by taking recordings of speech as audio and their text transcriptions ...
Aman Ankit, Sonu Kumar Mishra, Rinaz Shaikh, Chandraketu Kumar Gupta, Prakhar Mathur, Soudamini Pawar, Anil Cherukuri   +6 more
doaj  

Internet Speech Recognition Server [PDF]

Journal of Systemics, Cybernetics and Informatics, 2003
The goal of this article is to describe the design of Internet speech recognition server. The reason for building this server is the fact, that communication speed of Intranet and Internet rapidly grows, and we can divide speech recognition process to ...
Miroslav Holada
doaj  

Auditory, Cognitive, and Linguistic Factors Predict Speech Recognition in Adverse Listening Conditions for Children With Hearing Loss

Frontiers in Neuroscience, 2019
Objectives: Children with hearing loss listen and learn in environments with noise and reverberation, but perform more poorly in noise and reverberation than children with normal hearing.
Ryan W. McCreery, Elizabeth A. Walker, Meredith Spratford, Dawna Lewis, Marc Brennan   +4 more
doaj   +1 more source

Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds [PDF]

arXiv, 2017
Conversational speech not only contains several variants of neutral speech but is also prominently interlaced with several speaker generated non-speech sounds such as laughter and breath. A robust speaker recognition system should be capable of recognizing a speaker irrespective of these variations in his speech. An understanding of whether the speaker-
arxiv  

DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis [PDF]

arXiv, 2020
Automatic speaker recognition algorithms typically characterize speech audio using short-term spectral features that encode the physiological and anatomical aspects of speech production. Such algorithms do not fully capitalize on speaker-dependent characteristics present in behavioral speech features. In this work, we propose a prosody encoding network
arxiv  

Dose rate correction of a diode array for universal wedge field dosimetric verification

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen, Mengyang Li, Guiyuan Li, Xinyuan Chen, Shouping Xu, Jianrong Dai, Yuan Tian   +6 more
wiley   +1 more source

Speech-Driven Text Retrieval: Using Target IR Collections for Statistical Language Model Adaptation in Speech Recognition [PDF]

Anni R. Coden and Eric W. Brown and Savitha Srinivasan (Eds.), Information Retrieval Techniques for Speech Applications (LNCS 2273), pp.94-104, Springer, 2002, 2002
Speech recognition has of late become a practical technology for real world applications. Aiming at speech-driven text retrieval, which facilitates retrieving information with spoken queries, we propose a method to integrate speech recognition and retrieval methods.
arxiv  

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source