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Speech Recognition System: A Review

Nitin Washani, Sandeep Sharma
2015 International Journal of Computer Applications  
The paper also classifies the system into Front End and Back End for better understanding and representation of speech recognition system in each part.  ...  Today after intense research, Speech Recognition System, have made a niche for themselves and can be seen in many walks of life.  ...  FRONT-END ANALYSIS Front-End of the speech recognition system comprises of Speech Preprocessing and Feature Extraction Block.  ... 
doi:10.5120/20249-2617 fatcat:dlext5nbbzhkhpij6qoh2c5ytm

Fuzzy Speech Recognition: A Review

Vani H., Anusuya M.
2020 International Journal of Computer Applications  
The area of speech recognition is one of the interesting field in speech signal processing. Achieving accuracy and robustness is a very difficult constraint to various environmental factors.  ...  Progressive work and reviews in the speech recognition application has been adopted using fuzzy, as one of the technique to improve the recognition accuracies.  ...  Application of fuzzy at the front end and at the classification level are highlighted in this review paper.  ... 
doi:10.5120/ijca2020919989 fatcat:hqhllri4r5frlmv4mdxnybixsm

Speech recognition by machine: A review

D.R. Reddy
1976 Proceedings of the IEEE  
Advanced speech technology applied to problems of air traffic control," in NAECON 1975  ...  Erman and A. Newell  ...  Front End Processing: The purpose of the front end in a CSR system is to process the signal and transform it to a symbol string so that matching can take place.  ... 
doi:10.1109/proc.1976.10158 fatcat:cabx7alayff3zmt6egti77arj4

Speech Recognition by Machine, A Review [article]

M. A. Anusuya, S. K. Katti
2010 arXiv   pre-print
Hence authors hope that this work shall be a contribution in the area of speech recognition.  ...  The objective of this review paper is to summarize and compare some of the well known methods used in various stages of speech recognition system and identify research topic and applications which are  ...  . & Chairman, Dept. of CS & Automation, IISc., Bangalore, for their useful discussions and suggestions during the preparation of this technical paper.  ... 
arXiv:1001.2267v1 fatcat:yvcif2cb2jgkbjcqreid7cxanu

A Critical Review on Automatic Speaker Recognition

Nilu Singh
2015 Science Journal of Circuits Systems and Signal Processing  
Automatic Speaker recognition is a procedure to automatically recognizing a speaker or who is speaking by the individual information counted in speech signal/waves.  ...  Since the voice of every human is not same because their vocal tract shapes, larynx sizes and other parts of a human voice production system.  ...  Feature Extraction Feature extraction from speech signal is also called front end processing and is performed in both recognition (testing) and training phase.  ... 
doi:10.11648/j.cssp.20150402.12 fatcat:qmwjhthdrfc3di4sedquuywywu

A Review on Automatic Speech Recognition Architecture and Approaches

Karpagavalli S, Chandra E
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Speech is the most natural communication mode for human beings. The task of speech recognition is to convert speech into a sequence of words by a computer program.  ...  For more than three decades, a great amount of research was carried out on various aspects of speech recognition and its applications.  ...  The first stage is called the speech analysis or the acoustic front end.  ... 
doi:10.14257/ijsip.2016.9.4.34 fatcat:xbagvt7qc5a2dbxbwcjsofp7y4

A review of speech-based bimodal recognition

C.C. Chibelushi, F. Deravi, J.S.D. Mason
2002 IEEE transactions on multimedia  
Multimodal recognition is therefore acknowledged as a vital component of the next generation of spoken language systems.  ...  This paper reviews the components of bimodal recognizers, discusses the accuracy of bimodal recognition, and highlights some outstanding research issues as well as possible application domains.  ...  FRONT-END PROCESSING The common front-end processes for speech-based recognition are signal conditioning, segmentation, and feature extraction.  ... 
doi:10.1109/6046.985551 fatcat:6fezo5zovbdtti3lzxh24ksaii

A Review on Speech Recognition by Machines

K Swarna Krishnan, Manav rachna international university
2020 International Journal of Engineering Research and  
In this paper we discussed briefly about the speech recognition techniques, feature extraction methods, types of speech of recognition.  ...  This paper discusses about the importance of speech recognition and also shows how the speech recognition evolved in these many years.  ...  The feature analysis works as an acoustic model front end in the above figure.  ... 
doi:10.17577/ijertv9is070016 fatcat:gphp3sl2tfdwjfrlsvlzarx32e

Automatic speech recognition and speech variability: A review

M. Benzeghiba, R. De Mori, O. Deroo, S. Dupont, T. Erbes, D. Jouvet, L. Fissore, P. Laface, A. Mertins, C. Ris, R. Rose, V. Tyagi (+1 others)
2007 Speech Communication  
Major progress is being recorded regularly on both the technology and exploitation of Automatic Speech Recognition (ASR) and spoken language systems.  ...  These create a wide range of variations that may not be modeled correctly (speaker, gender, speaking rate, vocal effort, regional accent, speaking style, non stationarity...), especially when resources  ...  The views expressed here are those of the authors only. The Community is not liable for any use that may be made of the information contained therein.  ... 
doi:10.1016/j.specom.2007.02.006 fatcat:3zfqokxrpretxa4ght2yfudnwi

Emotion Recognition Using Speech and EEG Signal A Review

Priyanka Abhang, Shashibala Rao, Bharti W. Gawali, Pramod Rokade
2011 International Journal of Computer Applications  
Speech is the most natural form of communication. A much of work is been done in speech recognition in various languages. It is one of the components that closely related to emotions.  ...  This paper focus on one of the aspect of human computer interaction in concern with, the recognition of emotion in a person with the help of Electroencephalogram (EEG) signals and speech.  ...  The authors would like to thank the Department of Computer Science and Inforamtion Technology, Dr. B.A.M.  ... 
doi:10.5120/1925-2570 fatcat:fg7fq66ra5ghrb7op22rmmdyku

Face Recognition: A Literature Review

A. S. Tolba, A.H. El-Baz, A.A. El-Harby
2008 Zenodo  
We first present an overview of face recognition and its applications. Then, a literature review of the most recent face recognition techniques is presented.  ...  The task of face recognition has been actively researched in recent years. This paper provides an up-to-date review of major human face recognition research.  ...  During each of the 4 sessions a "speech" video sequence and a "head rotation" video sequence was captured.  ... 
doi:10.5281/zenodo.1334652 fatcat:c23g2sjbbrdldlbvifabw4zuhy

Features and Model Adaptation Techniques for Robust Speech Recognition: A Review

Kapang Legoh, Utpal Bhattacharjee, T. Tuithung
2015 Communications on Applied Electronics  
Also a brief review of major technological advancements during last few decades and a trend towards development of robust speech recognition system in terms of feature and model adaptation techniques is  ...  In this paper, major speech features used in state-of-the-art technology in speech recognition research are reviewed.  ...  There are two major activities in speech recognition research in present day technology: Front end analysis (signal modeling) and statistical modeling.  ... 
doi:10.5120/cae-1507 fatcat:cbvzysewanet7jmfqmzluhwvpy

Automatic Speech Recognition from Neural Signals: A Focused Review

Christian Herff, Tanja Schultz
2016 Frontiers in Neuroscience  
This focused review analyzes the potential of different brain imaging techniques to recognize speech from neural signals by applying Automatic Speech Recognition technology.  ...  As a first example of Automatic Speech Recognition techniques used from neural signals, we discuss the Brain-to-text system.  ...  KEY CONCEPT 2 | Automatic Speech Recognition (ASR) Automatic Speech Recognition is a technology that enables the recognition of spoken language into a textual representation by computers.  ... 
doi:10.3389/fnins.2016.00429 pmid:27729844 pmcid:PMC5037201 fatcat:ybxnf4tyh5amxabatrrqcs6hkm

A Review on Speech Analysis and Automatic Speaker Recognition
IJARCCE - Computer and Communication Engineering

Alahari. Neelima, Gattupalli. Deepti
2015 IJARCCE  
Speech recognition technology has been a multi-disciplinary research area since many decades and it found wide range of applications in many areas.  ...  Thus this paper gives a technological review on methods involved in feature extraction and automatic speaker recognition implemented so far.  ...  It can be explained by the figure as follows: The first two steps in this process constitute ASR front end.  ... 
doi:10.17148/ijarcce.2015.4289 fatcat:yfrq4qmx7vecxe4fkmrp4lpzzu

Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review

Wookey Lee, Jessica Jiwon Seong, Busra Ozlu, Bong Sup Shim, Azizbek Marakhimov, Suan Lee
2021 Sensors  
We especially research various deep learning technologies related to voice recognition, including visual speech recognition, silent speech interface, and analyze its flow, and systematize them into a taxonomy  ...  In this review, we survey mouth interface technologies which are mouth-mounted devices for speech recognition, production, and volitional control, and the corresponding research to develop artificial mouth  ...  Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21041399 pmid:33671282 fatcat:je4cmqkulnbmpbji3owxgr7f24
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