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What is Speech Recognition

Chapter 79
Encyclopedia of Internet Technologies and Applications
The process of interpreting human speech for transcription or as a method of interacting with a computer, using a computer equipped with a source of speech input, such as a microphone.
Published in Chapter:

The Speech-Enabled Web

L. E. Moser (University of California, Santa Barbara, USA) and P. M. Melliar-Smith (University of California, Santa Barbara, USA)
Copyright: © 2008 | Pages: 10
DOI: 10.4018/978-1-59140-993-9.ch079

Abstract

Speech recognition and synthesis technology has advanced to the point where the use of voice input and output is now feasible for Web-based applications over the Internet. This article describes applications, standards, and architectures for a speech-enabled Web, or SpeechWeb. The ready availability of mobile devices, such as cell phones and PDAs with wireless access to the Internet but without a conventional desktop keyboard, mouse, and large display, make voice input and output very compelling. Voice input and output for small screen/ keyboard devices, and for hands-/eyes-free situations, is essential to enable the user’s interaction with the device and to make it more user friendly.
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More Results
Chapter 15
Leveraging VR/AR/MR and AI as Innovative Educational Practices for “iGeneration” Students
It is the ability of a machine to identify words and phrases in a spoken language and convert them to machine understandable language.
Published in Chapter: Leveraging VR/AR/MR and AI as Innovative Educational Practices for “iGeneration” Students; From: Handbook of Research on Equity in Computer Science in P-16 Education
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Chapter 22
Advancements in Guidance Systems and Assistive Technologies for Visually Impaired Individuals
Speech recognition is a technology that enables computers to recognize and interpret human speech. It allows users to interact with computers and other digital devices using spoken commands.
Published in Chapter: Advancements in Guidance Systems and Assistive Technologies for Visually Impaired Individuals; From: Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse
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Chapter 51
Speech Synthesis and Recognition Based on Mobile Computing Application
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Chapter 6
Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition: An Overview and Review of Current State of the Art
Speech Recognition can be defined as the ability of a machine or program to identify words or phrases in spoken language to a machine readable format. It is the process of converting a speech signal into word sequences by implementing computer algorithms or programming.
Published in Chapter: Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition: An Overview and Review of Current State of the Art; From: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
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Chapter 13
Artificial Intelligence Technology to Help Students With Disabilities: Promises and Implications for Teaching and Learning
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Chapter 9
Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for Digital Transformation
Speech recognition is an interdisciplinary subfield of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition, or speech to text (STT). It incorporates knowledge and research in the linf=guistics, computer Science and electrical engineering fields.
Published in Chapter: Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for Digital Transformation; From: Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
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Chapter 20
Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture
Speech recognition is a process through which machines convert words or phrases spoken into a machine-readable format.
Published in Chapter: Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture; From: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
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Chapter 16
Voice-Based Speaker Identification and Verification
It is an interdisciplinary field of computer science and computational linguistics that develops methodologies and technologies for spoken language recognition.
Published in Chapter: Voice-Based Speaker Identification and Verification; From: Handbook of Research on Knowledge and Organization Systems in Library and Information Science
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Chapter 5
Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for the Indian Perspective
Speech recognition is an interdisciplinary subfield of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition, or speech to text (STT). It incorporates knowledge and research in the linguistics, computer science, and electrical engineering fields.
Published in Chapter: Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for the Indian Perspective; From: Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
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Chapter 2
AI-Enabled Assessment and Feedback Mechanisms for Language Learning: Transforming Pedagogy and Learner Experience
The application of AI to transcribe and interpret human speech, used in language learning for pronunciation practice and assessment.
Published in Chapter: AI-Enabled Assessment and Feedback Mechanisms for Language Learning: Transforming Pedagogy and Learner Experience; From: Transforming the Language Teaching Experience in the Age of AI
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Chapter 2
AI Voice Assistant for Smartphones With NLP Techniques
Technology that converts speech into text. It enables intelligent voice recognition to help understand what the user is saying.
Published in Chapter: AI Voice Assistant for Smartphones With NLP Techniques; From: AI-Driven Marketing Research and Data Analytics
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Chapter 12
Home Automation and Security System Using Internet of Things
In speech recognition technique, words and phrases in spoken language are converted into a text or machine-readable format. Speech recognition works using algorithms through acoustic and language modeling. The acoustic model is a file that contains a statistical representation of each of the distinct sounds that makes up a word. An acoustic model contains the large database of speech that is called a speech corpus. And use special training algorithms to create statistical representations for each phoneme in a language. Language models are used to constrain search in a decoder by limiting the number of possible words that need to be considered at any one point in the search. The consequence is faster execution and higher accuracy. Language models constrain search either absolutely (by enumerating some small subset of possible expansions) or probabilistically (by computing a likelihood for each possible successor word). The former will usually have an associated grammar this is compiled down into a graph; the latter will be trained from a corpus. Statistical language models (SLMs) are good for free-form input, such as dictation or spontaneous speech, where it's not practical or possible to a priori specify all possible legal word sequences.
Published in Chapter: Home Automation and Security System Using Internet of Things; From: Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization
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Chapter 7
A Distributed E-Healthcare System
The process of interpreting human speech for transcription, or as a method of interacting with a computer or device, using a source of speech input, such as a microphone.
Published in Chapter: A Distributed E-Healthcare System; From: Handbook of Research on Distributed Medical Informatics and E-Health
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Chapter 10
Natural Language Processing Applications in Language Assessment: The Use of Automated Speech Scoring
Speech recognition refers to an interdisciplinary subfield of computer science and computational linguistics that creates technologies helping the recognition and translation of spoken language into text by computers.
Published in Chapter: Natural Language Processing Applications in Language Assessment: The Use of Automated Speech Scoring; From: Fostering Foreign Language Teaching and Learning Environments With Contemporary Technologies
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Chapter 12
Mobile Technology of Learning and Communication for Students With Disabilities
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Chapter 1
Early Beginnings of AI: The Field of Research in Computer Science
Speech recognition is the field of Computer Science that deals with developing technology to translate spoken words into texts without losing the original context.
Published in Chapter: Early Beginnings of AI: The Field of Research in Computer Science; From: Cases on AI Ethics in Business
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Chapter 19
Terminals for the Smart Information Retrieval
Is the ability of a machine or program to recognize voice commands or take dictation.
Published in Chapter: Terminals for the Smart Information Retrieval; From: Handbook of Research on Mobile Multimedia, Second Edition
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Chapter 10
Using AI Technology to Support Speaking Skill Development for the Teaching of Chinese as a Foreign Language
The process of enabling a computer to identify and respond to the sounds produced in human speech.
Published in Chapter: Using AI Technology to Support Speaking Skill Development for the Teaching of Chinese as a Foreign Language; From: Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications
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Chapter 56
Computational and Engineering Issues in Human Computer Interaction Systems for Supporting Communication in African Languages
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Chapter 27
Voice-Enabled User Interfaces for Mobile Devices
The process of interpreting human speech for transcription or as a method of interacting with a computer or a mobile device, using a source of speech input, such as a microphone.
Published in Chapter: Voice-Enabled User Interfaces for Mobile Devices; From: Handbook of Research on User Interface Design and Evaluation for Mobile Technology
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