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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  ...  and "System organization for speech understanding" by Reddy Scope of the Paper: This paper is intended as a review and not as an exhaustive survey of all research in speech recognition.  ... 
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.  ...  This paper presents a brief survey on Automatic Speech Recognition and discusses the major themes and advances made in the past 60 years of research, so as to provide a technological perspective and an  ...  and research in automatic speech recognition by machines has attracted a great deal of attention for sixty years [76] .  ... 
arXiv:1001.2267v1 fatcat:yvcif2cb2jgkbjcqreid7cxanu

A Review on Speech Recognition by Machines

K Swarna Krishnan, Manav rachna international university
2020 International Journal of Engineering Research and  
This paper shows some of the important works or updates that was done by researchers to make this automated speech recognition (ASR) work as it is now.  ...  This paper discusses about the importance of speech recognition and also shows how the speech recognition evolved in these many years.  ...  [29] 1990 A machine Dragon Dictate was invented and launched by Dragon company which is considered as the first speech recognition machine for customers.  ... 
doi:10.17577/ijertv9is070016 fatcat:gphp3sl2tfdwjfrlsvlzarx32e

Speech Emotion Recognition Systems: Review

Pranay Kumar Rahi
2020 International Journal for Research in Applied Science and Engineering Technology  
In speech, domain's important factor is to understand the speech. But automated speech detection is a big challenge which is solved by extracting best features of signals (speech).  ...  In human machine interface application, emotion recognition from the speech signal has been research topic since many years.  ...  LIERATURE REVIEW The main objectives of the literature reviews are to develop ideas and established knowledge on a particular topic. The literature review is a piece of discursive prose.  ... 
doi:10.22214/ijraset.2020.1007 fatcat:ih3klw2nsneo5dpjfgdkzw6nei

Speech and Opinion Recognition from a Conversation

Speech Recognition is an interdisciplinary technique used to convert spoken language into text.  ...  Opinion Mining or Sentiment Analysis is a process which enables identifying opinions expressed by an author in a piece of text computationally.  ...  Speech Recognition is a field wherein speech input is analysed and computationally converted to text.  ... 
doi:10.35940/ijitee.e2466.049620 fatcat:kbynhsfpzfabbncs7adehn53ea

Speech Recognition Using Deep Neural Networks: a Systematic Review

Ali Bou Nassif, Ismail Shahin, Imtinan Attili, Mohammad Azzeh, Khaled Shaalan.
2019 IEEE Access  
INDEX TERMS Speech recognition, deep neural network, systematic review.  ...  Over the past decades, a tremendous amount of research has been done on the use of machine learning for speech processing applications, especially speech recognition.  ...  In speech recognition, the area of large vocabulary speech recognition had the most number of published papers at a 20%, which was followed by Noise robust speech recognition at about 14%.  ... 
doi:10.1109/access.2019.2896880 fatcat:6lpbl2uwbvfh3blahxtbxicka4

Speech technology and systems in human-machine communication [from the Guest Editors

Li Deng, Kuansan Wang, Wu Chou
2005 IEEE Signal Processing Magazine  
After a peer-review process, nine articles were selected that provide a comprehensive overview of the landscape in speech technology and human-machine communication.  ...  As the information age continues, research in speech technology is further accelerated by the advent of powerful computing devices, the data-driven pattern recognition methods, and the need to generate  ...  After a peer-review process, nine articles were selected that provide a comprehensive overview of the landscape in speech technology and human-machine communication.  ... 
doi:10.1109/msp.2005.1511818 fatcat:7tz2fo4rzjfizlthkugyt56a4y

A Robust Isolated Automatic Speech Recognition System using Machine Learning Techniques

In order to make fast communication between human and machine, speech recognition system are used. Number of speech recognition systems have been developed by various researchers.  ...  The work done by various researchers using Support vector machine and artificial neural network is also covered in a section of the paper.  ...  It can be predicted from the review that a lot of momentum has been gained by ASR.  ... 
doi:10.35940/ijitee.j8765.0881019 fatcat:n7vfdkeehfavzf2utjlpuggiui

Guest Editors Introduction: Machine Learning in Speech and Language Technologies

Pascale Fung, Dan Roth
2005 Machine Learning  
The call for papers was met with great enthusiasm from the speech and natural language community. Thirty six submissions were received; each paper was reviewed by at least three reviewers.  ...  now inspire new research in speech retrieval and recognition.  ...  Acknowledgments We would like to sincerely thank all of the authors and the many reviewers that contributed to this special issue. Special thanks go the Machine Learning Journal editorial staff.  ... 
doi:10.1007/s10994-005-1399-6 fatcat:756wi62i6jemji4w6fwcskti2q

Speech Emotion Recognition Using Deep Learning Techniques

Apoorva Ganapathy, Adobe Systems
2016 ABC Journal of Advanced Research  
The present investigation assessed deep learning methods for speech emotion detection with accessible datasets, tracked by predictable machine learning methods for SER.  ...  Finally, we present-day a multi-aspect assessment between concrete neural network methods in SER. The objective of this investigation is to deliver a review of the area of distinct SER.  ...  Anjali et al. (2020) review speech emotion recognition approaches. This review cover 2009 to 2018 and several features applied in SER.  ... 
doi:10.18034/abcjar.v5i2.550 fatcat:z2rawtplfrfevagcykrlme3vka

Current Challenges and Application of Speech Recognition Process using Natural Language Processing: A Survey

Neha Chadha, R.C. Gangwar, Rajeev Bedi
2015 International Journal of Computer Applications  
A critical machine learning based review is defined which addresses the various challenging tasks of speech recognition system in NLP.  ...  Speech recognition is a vast research field for researchers in modern era. Earlier, the human language was processed by the computer system for speech recognition.  ...  Jayashree Padmanabhan (2015) [7] The automatic speech recognition along with Gaussian mixture model, machine learning and HMM is reviewed.  ... 
doi:10.5120/ijca2015907471 fatcat:2gytrmn44bhr5llivkd3iuwseq

MFCC using Speech Recognition in Computer Applications for Deaf

2019 International journal of recent technology and engineering  
Here the research proposes a technique by effectively incorporating speech recognition approach for handling web portal via voice (be it from any place or time) for accessing data.  ...  Speech Recognition has lately evolved as a beneficial computer technology involving various interactive speech based applications in this domain.  ...  There is a review of studies carried out by the researchers concerning ML (machine learning) techniques viz, Deep Neural Network, NN (Neural network), CNN (Convolution Neural Networks) and optimization  ... 
doi:10.35940/ijrte.b1036.0982s1119 fatcat:gbrjuex6fng3xo6lmc2jg5ihl4

Speech Recognition System – A Review

Shaikh Naziya S., R.R. Deshmukh
2016 IOSR Journal of Computer Engineering  
In human to machine interface, speech signal is transformed into analog and digital wave form which can be understood by machine. Speech technologies are vastly used and has unlimited uses.  ...  These technologies enable machines to respond correctly and reliably to human voices, and provide useful and valuable services.The paper gives an overview of the speech recognition process, its basic model  ...  Speech Recognition System(SRS) is also known as Automatic Speech Recognition (ASR) or computer speech recognition which is the process of converting a speech signal to a sequence of words by means of an  ... 
doi:10.9790/0661-1804020109 fatcat:ymmjk752g5hzziwcwqmblhvefe

A Review on Deep Learning Algorithms for Speech and Facial Emotion Recognition

Charlyn Pushpa Latha, Mohana Priya
2016 APTIKOM Journal on Computer Science and Information Technologies  
This paper focuses on the review of some of the deep learning techniques used by various researchers which paved the way to improve the classification accuracy of the FEMG signals as well as the speech  ...  Deep Learning is the recent machine learning technique that tries to model high level abstractions in data by using multiple processing layers with complex structures.  ...  recognition rate of the system reached 86.5%, By training the data set, the study of speech emotion recognition based on DBNs ISSN: 2528-2417  A Review on Deep Learning Algorithms for Speech  ... 
doi:10.11591/aptikom.j.csit.118 fatcat:gerpzx54qrgrtf3pqnnzgjywim

Mobile Speech Translation for Multilingual Requirements Meetings: A Preliminary Study

Fabio Calefato, Filippo Lanubile, Damiano Romita, Rafael Prikladnicki, Joao Henrique Stocker Pinto
2014 2014 IEEE 9th International Conference on Global Software Engineering  
In this paper, we investigate the adoption of combining speech recognition and machine translation in order to overcome language barriers among stakeholders who are remotely negotiating software requirements  ...  We report our findings from a simulated study where stakeholders communicate speaking three different languages with the help of the Google mobile speech translation service.  ...  BACKGROUND ON SPEECH TRANSLATION In this section, we review the background on the two building blocks of speech translation systems, that is, speech recognition and machine translation. A.  ... 
doi:10.1109/icgse.2014.10 dblp:conf/icgse/CalefatoLRPP14 fatcat:3n5zpw4o75haro42ndl6fcen5i
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