DocumentCode
237553
Title
Digital life assistant using automated speech recognition
Author
Rawat, Seema ; Gupta, Puneet ; Kumar, Pranaw
Author_Institution
Amity Univ., Noida, India
fYear
2014
fDate
28-29 Nov. 2014
Firstpage
43
Lastpage
47
Abstract
Physical interaction in order to provide commands or gain access to a computer system is now a history. Voice or speech stimulated systems are a part of modern Smartphone culture. Automatic Speech Recognition is an important application of artificial intelligence. This paper provides a brief description of what automatic speech recognition is its various types and a overview of how the process works. After a precise review of Hidden Markov Model (HMM) & Mel Spectrum Cestrum Coefficient (MFCC), this paper discusses about the history of this technology, future aspects and scope. Applications of the technology in various fields are also discussed.
Keywords
hidden Markov models; speech recognition; Mel spectrum cestrum coefficient; artificial intelligence; automated speech recognition; digital life assistant; hidden Markov model; physical interaction; smartphone culture; Acoustics; Automatic speech recognition; Computers; Feature extraction; Hidden Markov models; Speech; Digitized or Digital Life Assistant; Feature extraction; Hidden Markov Model (HMM); LPC; MFCC; PLP; Voice or Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/CIPECH.2014.7019075
Filename
7019075
Link To Document