Paramount—A Hidden Markov Model Based Intelligent Voice Assistant

Manoj Ishwar Hegde; M. P. Manvitha Shivalingappa; Snigdha Sen

doi:10.1007/978-981-99-3878-0_64

Paramount—A Hidden Markov Model Based Intelligent Voice Assistant

Manoj Ishwar Hegde^*
, M. P. Manvitha Shivalingappa
, Snigdha Sen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Speech is a basic form of communication between human beings. Every human wants to work in an efficient and convenient environment. This voice assistant aids in accomplishing this task. The voice assistant is a software program that has the ability to convert voice input into commands. The main objective of our paper is to convert speech input into text efficiently, which is understandable by the machine. The output is the execution of the command. This is a custom software program that performs general tasks and also some exclusive tasks. It makes a preliminary exploration of the application of speech recognition in various fields. It is an intelligent program that reacts to voice instructions and can be used with any device, which includes desktop/laptop computers, speakers, wearable technology, TV consoles, gaming consoles, tablets, smartphones, virtual reality (VR) headsets, automobiles, and Internet of Things (IoT) gadgets. In our voice assistant, we are using Mel-frequency cestrum coefficient (MFCC) (i.e., feature vector) and vector quantization (VQ-CODE BOOK), hidden Markov model (HMM) (feature matching) to recognize the commands.

Original language	English
Title of host publication	Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023
Editors	Nabendu Chaki, Nilanjana Dutta Roy, Papiya Debnath, Khalid Saeed
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	755-765
Number of pages	11
ISBN (Print)	9789819938773
DOIs	https://doi.org/10.1007/978-981-99-3878-0_64
Publication status	Published - 2023
Event	International Conference on Data Analytics and Insights, ICDAI 2023 - Kolkata, India Duration: 11-05-2023 → 13-05-2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	727 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Data Analytics and Insights, ICDAI 2023
Country/Territory	India
City	Kolkata
Period	11-05-23 → 13-05-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-981-99-3878-0_64

Cite this

Hegde, M. I., Manvitha Shivalingappa, M. P., & Sen, S. (2023). Paramount—A Hidden Markov Model Based Intelligent Voice Assistant. In N. Chaki, N. D. Roy, P. Debnath, & K. Saeed (Eds.), Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 (pp. 755-765). (Lecture Notes in Networks and Systems; Vol. 727 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-3878-0_64

Hegde, Manoj Ishwar ; Manvitha Shivalingappa, M. P. ; Sen, Snigdha. / Paramount—A Hidden Markov Model Based Intelligent Voice Assistant. Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023. editor / Nabendu Chaki ; Nilanjana Dutta Roy ; Papiya Debnath ; Khalid Saeed. Springer Science and Business Media Deutschland GmbH, 2023. pp. 755-765 (Lecture Notes in Networks and Systems).

@inproceedings{da783ea932dc4fecb1d1ee7c477f2b74,

title = "Paramount—A Hidden Markov Model Based Intelligent Voice Assistant",

abstract = "Speech is a basic form of communication between human beings. Every human wants to work in an efficient and convenient environment. This voice assistant aids in accomplishing this task. The voice assistant is a software program that has the ability to convert voice input into commands. The main objective of our paper is to convert speech input into text efficiently, which is understandable by the machine. The output is the execution of the command. This is a custom software program that performs general tasks and also some exclusive tasks. It makes a preliminary exploration of the application of speech recognition in various fields. It is an intelligent program that reacts to voice instructions and can be used with any device, which includes desktop/laptop computers, speakers, wearable technology, TV consoles, gaming consoles, tablets, smartphones, virtual reality (VR) headsets, automobiles, and Internet of Things (IoT) gadgets. In our voice assistant, we are using Mel-frequency cestrum coefficient (MFCC) (i.e., feature vector) and vector quantization (VQ-CODE BOOK), hidden Markov model (HMM) (feature matching) to recognize the commands.",

author = "Hegde, \{Manoj Ishwar\} and \{Manvitha Shivalingappa\}, \{M. P.\} and Snigdha Sen",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Data Analytics and Insights, ICDAI 2023 ; Conference date: 11-05-2023 Through 13-05-2023",

year = "2023",

doi = "10.1007/978-981-99-3878-0\_64",

language = "English",

isbn = "9789819938773",

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address = "Germany",

}

Hegde, MI, Manvitha Shivalingappa, MP & Sen, S 2023, Paramount—A Hidden Markov Model Based Intelligent Voice Assistant. in N Chaki, ND Roy, P Debnath & K Saeed (eds), Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023. Lecture Notes in Networks and Systems, vol. 727 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 755-765, International Conference on Data Analytics and Insights, ICDAI 2023, Kolkata, India, 11-05-23. https://doi.org/10.1007/978-981-99-3878-0_64

Paramount—A Hidden Markov Model Based Intelligent Voice Assistant. / Hegde, Manoj Ishwar; Manvitha Shivalingappa, M. P.; Sen, Snigdha.
Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023. ed. / Nabendu Chaki; Nilanjana Dutta Roy; Papiya Debnath; Khalid Saeed. Springer Science and Business Media Deutschland GmbH, 2023. p. 755-765 (Lecture Notes in Networks and Systems; Vol. 727 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Paramount—A Hidden Markov Model Based Intelligent Voice Assistant

AU - Hegde, Manoj Ishwar

AU - Manvitha Shivalingappa, M. P.

AU - Sen, Snigdha

PY - 2023

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N2 - Speech is a basic form of communication between human beings. Every human wants to work in an efficient and convenient environment. This voice assistant aids in accomplishing this task. The voice assistant is a software program that has the ability to convert voice input into commands. The main objective of our paper is to convert speech input into text efficiently, which is understandable by the machine. The output is the execution of the command. This is a custom software program that performs general tasks and also some exclusive tasks. It makes a preliminary exploration of the application of speech recognition in various fields. It is an intelligent program that reacts to voice instructions and can be used with any device, which includes desktop/laptop computers, speakers, wearable technology, TV consoles, gaming consoles, tablets, smartphones, virtual reality (VR) headsets, automobiles, and Internet of Things (IoT) gadgets. In our voice assistant, we are using Mel-frequency cestrum coefficient (MFCC) (i.e., feature vector) and vector quantization (VQ-CODE BOOK), hidden Markov model (HMM) (feature matching) to recognize the commands.

AB - Speech is a basic form of communication between human beings. Every human wants to work in an efficient and convenient environment. This voice assistant aids in accomplishing this task. The voice assistant is a software program that has the ability to convert voice input into commands. The main objective of our paper is to convert speech input into text efficiently, which is understandable by the machine. The output is the execution of the command. This is a custom software program that performs general tasks and also some exclusive tasks. It makes a preliminary exploration of the application of speech recognition in various fields. It is an intelligent program that reacts to voice instructions and can be used with any device, which includes desktop/laptop computers, speakers, wearable technology, TV consoles, gaming consoles, tablets, smartphones, virtual reality (VR) headsets, automobiles, and Internet of Things (IoT) gadgets. In our voice assistant, we are using Mel-frequency cestrum coefficient (MFCC) (i.e., feature vector) and vector quantization (VQ-CODE BOOK), hidden Markov model (HMM) (feature matching) to recognize the commands.

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M3 - Conference contribution

AN - SCOPUS:85172233752

SN - 9789819938773

T3 - Lecture Notes in Networks and Systems

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BT - Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023

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A2 - Roy, Nilanjana Dutta

A2 - Debnath, Papiya

A2 - Saeed, Khalid

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Data Analytics and Insights, ICDAI 2023

Y2 - 11 May 2023 through 13 May 2023

ER -

Hegde MI, Manvitha Shivalingappa MP, Sen S. Paramount—A Hidden Markov Model Based Intelligent Voice Assistant. In Chaki N, Roy ND, Debnath P, Saeed K, editors, Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 755-765. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-3878-0_64

Paramount—A Hidden Markov Model Based Intelligent Voice Assistant

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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