Results 51 to 60 of about 545,669 (204)

A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition [PDF]

, 1997
A technique is presented which combines rule-based and neural network pattern recognition methods in an integrated system in order to perform learning and recognition of hand-written characters and gestures in realtime. The GesRec system is introduced
Craven, Michael P., Curtis, K. Mervyn, Hayes-Gill, Barrie H., Thursfield, C.D.   +3 more
core  

Fuzzy sets in pattern recognition, image analysis and automatic speech recognition [PDF]

Applications of Mathematics, 1985
This paper attempts to discuss and survey some of the methodologies using fuzzy sets that have been suggested for fuzzy pattern recognition, and techniques for image processing and speech recognition.
openaire   +2 more sources

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  

Binary Neural Networks for Classification of Voice Commands From Throat Microphone

IEEE Access, 2018
Multi-class pattern classification has many applications including speech recognition, and it is not easy to extend from two-class neural networks (NNs).
Fabio Cisne Ribeiro, Raphael Torres Santos Carvalho, Paulo Cesar Cortez, Victor Hugo C. De Albuquerque, Pedro Pedrosa Reboucas Filho   +4 more
doaj   +1 more source

Application of Bernstein and Pattern Recognition Methods for Speech Command Recognition

Journal of Applied Sciences, 2007
In this study, a software prepared by using pattern recognition method then the mathematical function Bernstein method is applied to this software. When compared these two softwares it is find out that the rate of recognition of the Bernstein function applied software is higher than other. But the speed of voice recognition is slow than other software.
openaire   +2 more sources

Schizophrenia alters intra-network functional connectivity in the caudate for detecting speech under informational speech masking conditions

BMC Psychiatry, 2018
s Background Speech recognition under noisy “cocktail-party” environments involves multiple perceptual/cognitive processes, including target detection, selective attention, irrelevant signal inhibition, sensory/working memory, and speech production ...
Yingjun Zheng, Chao Wu, Juanhua Li, Ruikeng Li, Hongjun Peng, Shenglin She, Yuping Ning, Liang Li   +7 more
doaj   +1 more source

Lexico-semantic and acoustic-phonetic processes in the perception of noise-vocoded speech: implications for cochlear implantation. [PDF]

, 2014
Noise-vocoding is a transformation which, when applied to speech, severely reduces spectral resolution and eliminates periodicity, yielding a stimulus that sounds "like a harsh whisper" (Scott et al., 2000, p. 2401).
Carolyn eMcGettigan, Carolyn eMcGettigan, Sophie K Scott, Stuart eRosen   +3 more
core   +2 more sources

Speech recognition error patterns for steady-state noise and interrupted speech [PDF]

The Journal of the Acoustical Society of America, 2017
Listening in various types of adverse listening conditions may lead to different errors in speech recognition. Young adults repeated sentences degraded by steady-state noise or periodically interrupted by noise preserved at varying proportions. Recognition errors were analyzed according to the noise type and speech proportion.
Kimberly G, Smith, Daniel, Fogerty
openaire   +2 more sources

Using Voice Technologies to Support Disabled People

Journal of Disability Research
In recent years, significant strides have been made in speech and speaker recognition systems, owing to the rapid evolution of data processing capabilities.
H. E. Semary, Khamis A. Al-Karawi, Mahmoud M. Abdelwahab   +2 more
doaj   +1 more source

A Diagonally Weighted Binary Memristor Crossbar Architecture Based on Multilayer Neural Network for Better Accuracy Rate in Speech Recognition Application

Advances in Electrical and Computer Engineering, 2019
A novel binary memristor crossbar architecture based on multilayer neural networks is proposed in the speech recognition application. Here, the memristor crossbar circuit acts as the weights of the neural network combined with the activation function ...
VO, M.-H.
doaj   +1 more source