Results 31 to 40 of about 1,064,690 (154)

A user evaluation of speech/phrase recognition software in critically ill patients: a DECIDE-AI feasibility study

Critical Care, 2023
Objectives Evaluating effectiveness of speech/phrase recognition software in critically ill patients with speech impairments. Design Prospective study. Setting Tertiary hospital critical care unit in the northwest of England.
M. Musalia, S. Laha, J. Cazalilla-Chica, J. Allan, L. Roach, J. Twamley, S. Nanda, M. Verlander, A. Williams, I. Kempe, I. I. Patel, F. Campbell-West, B. Blackwood, D. F. McAuley   +13 more
doaj   +1 more source

Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer

EURASIP Journal on Audio, Speech, and Music Processing, 2010
In patients suffering from head and neck cancer, speech intelligibility is often restricted. For assessment and outcome measurements, automatic speech recognition systems have previously been shown to be appropriate for objective and quick evaluation of ...
Andreas Maier, Tino Haderlein, Florian Stelzle, Elmar Nöth, Emeka Nkenke, Frank Rosanowski, Anne Schützenberger, Maria Schuster   +7 more
doaj   +1 more source

Phoneme recognition with statistical modeling of the prediction error of neural networks [PDF]

, 1998
This paper presents a speech recognition system which incorporates predictive neural networks. The neural networks are used to predict observation vectors of speech.
Freitag, Fèlix, Monte Moreno, Enrique
core  

Towards a Knowledge Graph based Speech Interface

, 2017
Applications which use human speech as an input require a speech interface with high recognition accuracy. The words or phrases in the recognised text are annotated with a machine-understandable meaning and linked to knowledge graphs for further ...
Auer, Sören, Kumar, Ashwini Jaya, köhler, Joachim, Schmidt, Christoph   +3 more
core   +1 more source

Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech

Communications Medicine
Background Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information.
Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang   +8 more
doaj   +1 more source

A hidden Markov optimization model for processing and recognition of English speech feature signals

Journal of Intelligent Systems, 2022
Speech recognition plays an important role in human–computer interaction. The higher the accuracy and efficiency of speech recognition are, the larger the improvement of human–computer interaction performance.
Chen Yinchun
doaj   +1 more source

Primi Speech Recognition Based on Kaldi [PDF]

Jisuanji gongcheng, 2018
In order to improve the performance of Primi speech recognition system,the deep learning model is introduced into Primi speech recognition.The deep learning model is a large capacity and complex network model.Kaldi speech recognition toolkit is used as ...
HU Wenjun,FU Meijun,PAN Wenlin
doaj  

A Protection Scheme With Speech Processing Against Audio Adversarial Examples

IEEE Access
Machine learning technologies have improved the accuracy of speech recognition systems, and devices using those systems, such as smart speakers and AI assistants, are now in wide use. However, speech recognition systems have security vulnerabilities.
Yuya Tarutani, Taisei Yamamoto, Yukinobu Fukushima, Tokumi Yokohira   +3 more
doaj   +1 more source

Speech Emotion Recognition Based on Voice Rhythm Differences [PDF]

Jisuanji kexue
Speech emotion recognition has an important application prospect in financial anti-fraud and other fields,but it is increasingly difficult to improve the accuracy of speech emotion recognition.The existing methods of speech emotion recognition based on ...
ZHANG Jiahao, ZHANG Zhaohui, YAN Qi, WANG Pengwei
doaj   +1 more source

Robust emotional speech recognition based on binaural model and emotional auditory mask in noisy environments

EURASIP Journal on Audio, Speech, and Music Processing, 2018
The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions).
Meysam Bashirpour, Masoud Geravanchizadeh   +1 more
doaj   +1 more source