Automatic Speech Recognition: Systematic Literature Review
A huge amount of research has been done in the field of speech signal processing in recent years. In particular, there has been increasing interest in the automatic speech recognition (ASR) technology field. ASR began with simple systems that responded to a limited number of sounds and has evolved into sophisticated systems that respond fluently to natural language. This systematic review of ...
A comprehensive survey on automatic speech recognition using neural
The continuous development in Automatic Speech Recognition has grown and demonstrated its enormous potential in Human Interaction Communication systems. It is quite a challenging task to achieve high accuracy due to several parameters such as different dialects, spontaneous speech, speaker's enrolment, computation power, dataset, and noisy environment that decrease the performance of the ...
Automatic speech recognition: a survey
Recently great strides have been made in the field of automatic speech recognition (ASR) by using various deep learning techniques. In this study, we present a thorough comparison between cutting-edged techniques currently being used in this area, with a special focus on the various deep learning methods. This study explores different feature extraction methods, state-of-the-art classification ...
Automatic Speech Recognition: Systematic Literature Review
ASR can be defined as the process of deriving the. transcription of speech, known as a word sequence, in which. the focus is on the shape of the speech wave [1]. In actuality, speech recognition ...
(PDF) A Survey of Speaker Recognition: Fundamental Theories
Specifically, this literature survey gives a concise introduction to ASR and provides an overview of the general architectures dealing with speaker recognition technologies, and upholds the past ...
Automatic Speech Emotion Recognition: a Systematic Literature Review
Automatic Speech Emotion Recognition (ASER) has recently garnered attention across various fields including artificial intelligence, pattern recognition, and human-computer interaction. However, ASER encounters numerous challenges such as a shortage of diverse datasets, appropriate feature selection, and suitable intelligent recognition techniques. To address these challenges, a systematic ...
Speech emotion recognition approaches: A systematic review
The speech-emotion recognition (SER) field became crucial in advanced Human-computer interaction (HCI). ... It shows that most previous survey papers are literature reviews and a few attempts to do a systematic literature review for SER, and all covered the main parts of SER. However, there are some limitations in covering the preprocess ...
A systematic literature review of speech emotion recognition approaches
Abstract. Nowadays emotion recognition from speech (SER) is a demanding research area for researchers because of its wide real-life applications. There are many challenges for SER systems such as the availability of suitable emotional databases, identification of the relevant feature vector, and suitable classifiers.
[PDF] A Survey of Speaker Recognition: Fundamental Theories
This literature survey gives a concise introduction to ASR and provides an overview of the general architectures dealing with speaker recognition technologies, and upholds the past, present, and future research trends in this area. Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication ...
[2303.03329] End-to-End Speech Recognition: A Survey
Title: End-to-End Speech Recognition: A Survey Authors: Rohit Prabhavalkar , Takaaki Hori , Tara N. Sainath , Ralf Schlüter , Shinji Watanabe View a PDF of the paper titled End-to-End Speech Recognition: A Survey, by Rohit Prabhavalkar and 4 other authors
A review on speech emotion recognition: A survey, recent advances
The literature on noisy speech emotion recognition has identified three main approaches to processing noisy speech emotion data for classification or regression analysis. The first is speech enhancement pre-processing to improve or remove noise from raw speech signals or calculated features.
PDF A Review of the Literature on Computerized Speech-to-Text
The purpose of this report was to review the existing literature on speech-to-text as an accom-modation within classroom and testing settings. Due, in part, to the speed of technology changes related to this type of accommodation, literature reviewed was limited to studies published within the past 10 years.
Literature Review on Automatic Speech Recognition
Ghai and Singh (2012) and Kurian (2014) have presented a survey on speech recognition over the year 2000-2013 for various Indian languages i.e. Gujarati, Oriya, Punjabi, etc. Approving the Thakur ...
PDF Automated Speech Recognition System
This paper analysis the accuracy of feature extraction based on modeling which is implemented using MFCC and HMM for two different type connected and continuous speech. The recognition result shows that the overall system accuracy for connected word is 69.22 % and continuous word is 50%.
Speech emotion recognition methods: A literature review
Selection of suitable feature sets, design of a proper classifications methods and prepare an appropriate dataset are the main key issues of speech emotion recognition systems. This paper critically analyzed the current available approaches of speech emotion recognition methods based on the three evaluating parameters (feature set ...
Speech Emotion Recognition Systems: A Comprehensive Review ...
Speech Emotion Recognition (SER) systems can be defined as an assortment of methods processes and classifies speech signals for the detection of associated emotions. ... This paper deals with the different types of open source speech emotion datasets of various languages and recent literature survey in the area of speech emotion recognition ...
Speech emotion recognition methods: A literature review
Speech emotion recognition is mostly beneficial for appli cations, which need human-computer interaction such as. speech synthesis, customer service, educa tion, forensics and medical analysis [1 ...
Literature Survey of Arabic Speech Recognition
This survey reveals that the shortage of freely available continuous speech corpora deserves more research attention in this domain, and shows a need to compile large corpora or a benchmark, as it will be a key factor to promote the Arabic language research for effective human-computer interaction. Speech recognition poses some interesting challenges such as varying acoustic conditions ...
[PDF] Survey on speech emotion recognition: Features, classification
Semantic Scholar extracted view of "Survey on speech emotion recognition: Features, classification schemes, and databases" by Moataz M. H. El Ayadi et al. ... The recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora, different types of speech features and models used for ...
Trends in speech emotion recognition: a comprehensive survey
Among the other modes of communication, such as text, body language, facial expressions, and so on, human beings employ speech as the most common. It contains a great deal of information, including the speaker's feelings. Detecting the speaker's emotions from his or her speech has shown to be quite useful in a variety of real-world applications. The dataset development, feature extraction ...
Cybercrime Intention Recognition: A Systematic Literature Review
In this systematic literature review, we delve into the realm of intention recognition within the context of digital forensics and cybercrime. The rise of cybercrime has become a major concern for individuals, organizations, and governments worldwide. Digital forensics is a field that deals with the investigation and analysis of digital evidence in order to identify, preserve, and analyze ...
Federal Register :: Medical Devices; Laboratory Developed Tests
This PDF is the current document as it appeared on Public Inspection on 04/29/2024 at 8:45 am. It was viewed 6212 times while on Public Inspection. If you are using public inspection listings for legal research, you should verify the contents of the documents against a final, official edition of the Federal Register.
Literature Survey: Sign Language Recognition Using Gesture ...
Literature Survey: Sign Language Recognition Using Gesture Recognition and Natural Language Processing. Conference paper; First Online: 05 August 2021; pp 197-210; ... The POS tagging stage creates parts-of-speech tags: noun (N), preposition (Prep), pronoun, adjective (Adj), verb (V), adverb (Adv), etc. using WordNet Algorithm for POS tagging
Speech Emotion Recognition: A Comprehensive Survey
Speech emotion recognition could be considered a new topic in speech processing where he plays that plays an essential role in human interaction. Emotions are a king of speech that recognizes the three significant aspects of designing the speech emotion recognition system. This article reviews the work on speech emotion recognition and is helpful for further research. Firstly, speech emotion ...
COMMENTS
A huge amount of research has been done in the field of speech signal processing in recent years. In particular, there has been increasing interest in the automatic speech recognition (ASR) technology field. ASR began with simple systems that responded to a limited number of sounds and has evolved into sophisticated systems that respond fluently to natural language. This systematic review of ...
The continuous development in Automatic Speech Recognition has grown and demonstrated its enormous potential in Human Interaction Communication systems. It is quite a challenging task to achieve high accuracy due to several parameters such as different dialects, spontaneous speech, speaker's enrolment, computation power, dataset, and noisy environment that decrease the performance of the ...
Recently great strides have been made in the field of automatic speech recognition (ASR) by using various deep learning techniques. In this study, we present a thorough comparison between cutting-edged techniques currently being used in this area, with a special focus on the various deep learning methods. This study explores different feature extraction methods, state-of-the-art classification ...
ASR can be defined as the process of deriving the. transcription of speech, known as a word sequence, in which. the focus is on the shape of the speech wave [1]. In actuality, speech recognition ...
Specifically, this literature survey gives a concise introduction to ASR and provides an overview of the general architectures dealing with speaker recognition technologies, and upholds the past ...
Automatic Speech Emotion Recognition (ASER) has recently garnered attention across various fields including artificial intelligence, pattern recognition, and human-computer interaction. However, ASER encounters numerous challenges such as a shortage of diverse datasets, appropriate feature selection, and suitable intelligent recognition techniques. To address these challenges, a systematic ...
The speech-emotion recognition (SER) field became crucial in advanced Human-computer interaction (HCI). ... It shows that most previous survey papers are literature reviews and a few attempts to do a systematic literature review for SER, and all covered the main parts of SER. However, there are some limitations in covering the preprocess ...
Abstract. Nowadays emotion recognition from speech (SER) is a demanding research area for researchers because of its wide real-life applications. There are many challenges for SER systems such as the availability of suitable emotional databases, identification of the relevant feature vector, and suitable classifiers.
This literature survey gives a concise introduction to ASR and provides an overview of the general architectures dealing with speaker recognition technologies, and upholds the past, present, and future research trends in this area. Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication ...
Title: End-to-End Speech Recognition: A Survey Authors: Rohit Prabhavalkar , Takaaki Hori , Tara N. Sainath , Ralf Schlüter , Shinji Watanabe View a PDF of the paper titled End-to-End Speech Recognition: A Survey, by Rohit Prabhavalkar and 4 other authors
The literature on noisy speech emotion recognition has identified three main approaches to processing noisy speech emotion data for classification or regression analysis. The first is speech enhancement pre-processing to improve or remove noise from raw speech signals or calculated features.
The purpose of this report was to review the existing literature on speech-to-text as an accom-modation within classroom and testing settings. Due, in part, to the speed of technology changes related to this type of accommodation, literature reviewed was limited to studies published within the past 10 years.
Ghai and Singh (2012) and Kurian (2014) have presented a survey on speech recognition over the year 2000-2013 for various Indian languages i.e. Gujarati, Oriya, Punjabi, etc. Approving the Thakur ...
This paper analysis the accuracy of feature extraction based on modeling which is implemented using MFCC and HMM for two different type connected and continuous speech. The recognition result shows that the overall system accuracy for connected word is 69.22 % and continuous word is 50%.
Selection of suitable feature sets, design of a proper classifications methods and prepare an appropriate dataset are the main key issues of speech emotion recognition systems. This paper critically analyzed the current available approaches of speech emotion recognition methods based on the three evaluating parameters (feature set ...
Speech Emotion Recognition (SER) systems can be defined as an assortment of methods processes and classifies speech signals for the detection of associated emotions. ... This paper deals with the different types of open source speech emotion datasets of various languages and recent literature survey in the area of speech emotion recognition ...
Speech emotion recognition is mostly beneficial for appli cations, which need human-computer interaction such as. speech synthesis, customer service, educa tion, forensics and medical analysis [1 ...
This survey reveals that the shortage of freely available continuous speech corpora deserves more research attention in this domain, and shows a need to compile large corpora or a benchmark, as it will be a key factor to promote the Arabic language research for effective human-computer interaction. Speech recognition poses some interesting challenges such as varying acoustic conditions ...
Semantic Scholar extracted view of "Survey on speech emotion recognition: Features, classification schemes, and databases" by Moataz M. H. El Ayadi et al. ... The recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora, different types of speech features and models used for ...
Among the other modes of communication, such as text, body language, facial expressions, and so on, human beings employ speech as the most common. It contains a great deal of information, including the speaker's feelings. Detecting the speaker's emotions from his or her speech has shown to be quite useful in a variety of real-world applications. The dataset development, feature extraction ...
In this systematic literature review, we delve into the realm of intention recognition within the context of digital forensics and cybercrime. The rise of cybercrime has become a major concern for individuals, organizations, and governments worldwide. Digital forensics is a field that deals with the investigation and analysis of digital evidence in order to identify, preserve, and analyze ...
This PDF is the current document as it appeared on Public Inspection on 04/29/2024 at 8:45 am. It was viewed 6212 times while on Public Inspection. If you are using public inspection listings for legal research, you should verify the contents of the documents against a final, official edition of the Federal Register.
Literature Survey: Sign Language Recognition Using Gesture Recognition and Natural Language Processing. Conference paper; First Online: 05 August 2021; pp 197-210; ... The POS tagging stage creates parts-of-speech tags: noun (N), preposition (Prep), pronoun, adjective (Adj), verb (V), adverb (Adv), etc. using WordNet Algorithm for POS tagging
Speech emotion recognition could be considered a new topic in speech processing where he plays that plays an essential role in human interaction. Emotions are a king of speech that recognizes the three significant aspects of designing the speech emotion recognition system. This article reviews the work on speech emotion recognition and is helpful for further research. Firstly, speech emotion ...