A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
An Approach to Increase Word Recognition Accuracy in Gujarati Language
English
2015
International Journal of Innovative Research in Computer and Communication Engineering
English
Preserved Fulltext
The paper presents a hybrid method for speech recognition(HMM/MLP) for isolated word recognition in Gujarati language. The feature extraction method used is MFCC. ...
The implemented system is speaker independent and has been tested for 30 words in MATLAB environment. ...
Dynamic Time Warping (DTW) is a productive system for discovering most favorable nonlinear arrangement between a format and the Speech sample. ...
doi:10.15680/ijircce.2015.0307012
fatcat:mjrbtttblfhepp6err6vxtbkym
A Review on Automatic Speech Recognition System in Indian Regional Languages
2018
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This process allow to the machine to conclude where one word begins and the next word stops. This type of speech recognition application are still used to direct to the computer's system. ...
Speech technologies are commonly used available for an unlimited but most important range of tasks. Older speech recognition application needs to identify each single world by the different phases. ...
MFCC, Dynamic Time Warping (DTW)[10]
10 Isolated Words
94.85 %
4. ...
doi:10.5120/ijca2018917531
fatcat:uyxol7hb3valzpup7y5m2mol2e
A REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEM
2013
Journal of Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In order to improve recognition accuracy, researchers use methods, such as the hidden Markov model, artificial neural networks and dynamic time warping. ...
Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. ...
Each genetic string represents the parameter of a CTRNN. Two datasets were applied; one for isolated gestures, with a recognition rate of 98% for the training set and 94% for the testing set. ...
doi:10.3844/jcssp.2013.1496.1505
fatcat:ul4esnigrze2to6yxftwatcjai
Recognition Techniques for Online Arabic Handwriting Recognition Systems
2012
2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Online recognition of Arabic handwritten text has been an on-going research problem for many years. ...
However, different techniques have been used to build several online handwritten recognition systems for Arabic text, such as Neural Networks, Hidden Markov Model, Template Matching and others. ...
)
Words
and
characters
97% for
words and
92% for
letter
Structural
and
syntactical
Saabni
&El-Sana
(2009) [17]
Modified
dynamic time
warping
algorithm
Words
Average of
89%
Elastic ...
doi:10.1109/acsat.2012.14
fatcat:y5btkfworzfohfbjxd5b64kqru
REVIEW ON BIOMETRICS TECHNOLOGIES
2017
International Journal of Advanced Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This can be done efficiently using Dynamic Time Warping (DTW). ...
This system works reasonably well for isolated digits but when tested to isolated words, the accuracy dropped to 76% 920). ...
It's based on face and voice biometrics for recognition. 3. Soul of the system is based on PCA algorithm for face recognition and for voice recognition using Vb.net. 4. ...
doi:10.21474/ijar01/3460
fatcat:xk3rfjvshnfzviwgtst4loqsum
A synergy between HMM-GA based on stochastic cellular automata to accelerate speech recognition
2009
IEICE Electronics Express
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The HGSCA algorithm is compared with the Viterbi algorithm from the "recognition time" and "recognition error" view points. ...
Whereas such algorithm is in terms of dynamic programming, it consists of many computations with increasing number of reference words. ...
Also, some of the other methods such as Dynamic Time Warping (DTW) [1] and Neural Networks [2] have been applied for speech recognition, but none of the performances relevant to the above mentioned ...
doi:10.1587/elex.6.1304
fatcat:wqvhlctn3nckrh3yrmx3htqfiy
A Review on Speech Recognition Technique
2010
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
and also gives overview technique developed in each stage of speech recognition. ...
This paper is concludes with the decision on feature direction for developing technique in human computer interface system using Marathi Language. ...
The authors would like to thank the university authorities for Providing infrastructure to carry out the experiments. This work is supported by DST. ...
doi:10.5120/1462-1976
fatcat:zx4z3uczqjh2hhnrtc46b3rycu
Real Time Speaker Recognition System for Hindi Words
2014
International Journal of Information Engineering and Electronic Business
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Real time speaker recognition is needed for various voice controlled applications. ...
Background noise influences the overall efficiency of speaker recognition system and is still considered a challenge in Speaker Recognition System (SRS). ...
In this paper, we propose a speaker recognition system based on isolated digit word. ...
doi:10.5815/ijieeb.2014.02.04
fatcat:qrddfpamkvclxfiwcy37woe7mq
Syllable Based Speech Recognition
[chapter]
2011
Speech Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Speech recognition system can be speaker dependent or speaker independent. A speaker dependent system is developed to operate for a single speaker. These systems are usually more successful. ...
A speaker independent system is developed to operate for any speaker. These systems are the most difficult to develop, most expensive and accuracy is lower than speaker dependent systems. ...
Consequently, DTW is normally used for recognition of isolated words or syllables. ...
doi:10.5772/16307
fatcat:lig7sqnnw5fu7l5isttpdnst34
WAVELETS FOR SPEAKER RECOGNITION USING GMM CLASSIFIER
2017
International journal of advances in signal and image sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Then, the extracted DWT energy features are modeled using Gaussian mixture model (GMM) classifier for the recognition of the speaker. ...
In any speaker recognition system, feature extraction using signal processing approaches is an important stage. ...
The system employs MFCC and Dynamic Time Warping (DTW) for feature extraction and time equalization respectively. ...
doi:10.29284/ijasis.3.1.2017.13-18
fatcat:bi32bqamzvcs7jd2ezijafddda
Handwriting recognition system based on OCR
2015
Contemporary Engineerng Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, a new handwriting recognition system is proposed. This system was designed to recognized the isolated arabic characters and a group of characters that are merged to give a word. ...
This connectivity is a challenge in handwriting recognition, so we always search for a good methodology to make this recognition more sufficient. ...
and the letter may be written in isolated form according to the structure of the word. ...
doi:10.12988/ces.2015.59265
fatcat:korgm4edyvestctenzhqoyii5y
Modelling and Understanding of Speech and Speaker Recognition
[chapter]
2011
Discrete Wavelet Transforms - Biomedical Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
For the best match of the words spoken in Bengali language, the developed algorithm called RCGSTSS (real-coded genetic search technique for the speech and speaker recognition) has been employed (Tilendra ...
Each phrase has to be uttered five times by each speaker leading to a total size of (22 x 215 x 5) 23650 Bengali words for overcoming the out-of-vocabulary (OOV) word problem during recognition process ...
Part II addresses speech analysis, modeling and understanding of speech and speaker recognition. ...
doi:10.5772/20502
fatcat:zayvv7zihnea5i6ulurfhmjy7u
Effect of MFCC Based Features for Speech Signal Alignments
2013
International Journal on Natural Language Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The objective of this research is to investigate the effect of dynamic time warping on phrases, words, and phonemes based alignments. ...
Dynamic time warping is well known technique used for aligning two given multidimensional sequences. It locates an optimal match between the given sequences. ...
Isolated words of the input speech signal is analysed to obtain the speech parameters using Mel frequency cepstral coefficients (MFCC) or line spectral frequencies (LSF). ...
doi:10.5121/ijnlc.2013.2205
fatcat:wogpscj6trfqbkrcxuc5qxc6wq
Concurrent Voice Transmission with Customized Grammar Rules based on Locale
2013
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Being visually impaired or a computer illiterate have always being a barrier for people to use computer to perform their tasks in an easy, efficient and quick way. ...
Dynamic Time Warping (DTR): It measures the similarities between two utterances that vary in speed and are "warped" non-linearly in time dimension, on a frame-by-frame basis. ...
. Sub-word Matching: Recognition is done with the help of phonemes. Though there is less storage requirement for templates but processing time is more. ...
doi:10.5120/13081-0326
fatcat:sa3rbiwoyfcylobvschssrgcie
Possibilities, Challenges And The State Of The Art Of Automatic Speech Recognition In Air Traffic Control
2015
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Based on this literature review, criteria for selecting speech recognition approaches for the ATC domain are presented, and remaining challenges and possible solutions are discussed. ...
With the aim of providing a good starting point for researchers who are interested bringing automatic speech recognition into ATC, this paper gives an overview of possibilities and challenges of applying ...
Simensen and Christian Raspotnig), Edda Systems AS, and WP3 of "User driven innovation in smart homes for health and energy" at Østfold University College for support in the work with this paper. ...
doi:10.5281/zenodo.1108427
fatcat:uo6ncwfaqjelrcnfgo5lhnfsdm
« Previous
Showing results 1 — 15 out of 2,858 results