Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897629950> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2897629950 abstract "During recent years, health care domain has rapidly developed in which patients and medical resources are directly connected with the smart way that enables Smart Health Care. The growth in design and development of a speech automated system will provide a life assistant service in smart health care environment. In automating the speech system, speech recognition is one of the basic steps to understand the human recognition and their behaviors. These speech recognition systems will be very much accessible for speakers who suffer from dysarthria, a neurological disability that damages the control of motor speech articulators. In this paper, the main objective is to develop an efficient speech recognition module based on the Voice Input Voice Output Communication Aid (VIVOCA) architecture that can device a support aid to the people with DYSARTHRIA. Totally there are seven features extracted from each noise eliminated real time bilingual isolated word speech signal data uttered by a speaker both in Tamil and English languages. Vector Quantization based Genetic Algorithm codebook is created for the recognition modeling. Optimization of Hidden Markov Model (HMM) is done based on Particle Swarm Optimization (PSO) method to improve the recognition accuracy compared to the conventional HMM and also experiment results of the proposed module shows 95% of accuracy. The proposed module will be very much useful for developing a speech recognition system that facilitates the patients and persons with special needs for communication. The proposed module is also evaluated for its complexity which will be therefore efficient for low consumption of energy." @default.
- W2897629950 created "2018-10-26" @default.
- W2897629950 creator A5006390938 @default.
- W2897629950 creator A5041492668 @default.
- W2897629950 creator A5073251819 @default.
- W2897629950 creator A5086251786 @default.
- W2897629950 date "2018-04-01" @default.
- W2897629950 modified "2023-09-24" @default.
- W2897629950 title "An Optimal Speech Recognition Module for Patient's Voice Monitoring System in Smart Healthcare Applications" @default.
- W2897629950 cites W1533497953 @default.
- W2897629950 cites W1991499331 @default.
- W2897629950 cites W2013852953 @default.
- W2897629950 cites W2024906359 @default.
- W2897629950 cites W2124460610 @default.
- W2897629950 cites W2127817068 @default.
- W2897629950 cites W2144170296 @default.
- W2897629950 cites W2255539412 @default.
- W2897629950 cites W2412801388 @default.
- W2897629950 cites W2520371730 @default.
- W2897629950 cites W2759317895 @default.
- W2897629950 doi "https://doi.org/10.1109/repsgie.2018.8488841" @default.
- W2897629950 hasPublicationYear "2018" @default.
- W2897629950 type Work @default.
- W2897629950 sameAs 2897629950 @default.
- W2897629950 citedByCount "0" @default.
- W2897629950 crossrefType "proceedings-article" @default.
- W2897629950 hasAuthorship W2897629950A5006390938 @default.
- W2897629950 hasAuthorship W2897629950A5041492668 @default.
- W2897629950 hasAuthorship W2897629950A5073251819 @default.
- W2897629950 hasAuthorship W2897629950A5086251786 @default.
- W2897629950 hasConcept C126838900 @default.
- W2897629950 hasConcept C133892786 @default.
- W2897629950 hasConcept C154945302 @default.
- W2897629950 hasConcept C23224414 @default.
- W2897629950 hasConcept C2777639682 @default.
- W2897629950 hasConcept C28490314 @default.
- W2897629950 hasConcept C41008148 @default.
- W2897629950 hasConcept C71924100 @default.
- W2897629950 hasConceptScore W2897629950C126838900 @default.
- W2897629950 hasConceptScore W2897629950C133892786 @default.
- W2897629950 hasConceptScore W2897629950C154945302 @default.
- W2897629950 hasConceptScore W2897629950C23224414 @default.
- W2897629950 hasConceptScore W2897629950C2777639682 @default.
- W2897629950 hasConceptScore W2897629950C28490314 @default.
- W2897629950 hasConceptScore W2897629950C41008148 @default.
- W2897629950 hasConceptScore W2897629950C71924100 @default.
- W2897629950 hasLocation W28976299501 @default.
- W2897629950 hasOpenAccess W2897629950 @default.
- W2897629950 hasPrimaryLocation W28976299501 @default.
- W2897629950 hasRelatedWork W2054329538 @default.
- W2897629950 hasRelatedWork W2115106736 @default.
- W2897629950 hasRelatedWork W2145214657 @default.
- W2897629950 hasRelatedWork W2314526909 @default.
- W2897629950 hasRelatedWork W2365582316 @default.
- W2897629950 hasRelatedWork W2378464312 @default.
- W2897629950 hasRelatedWork W2512796626 @default.
- W2897629950 hasRelatedWork W2735308927 @default.
- W2897629950 hasRelatedWork W2794636065 @default.
- W2897629950 hasRelatedWork W2923567804 @default.
- W2897629950 hasRelatedWork W2959000910 @default.
- W2897629950 hasRelatedWork W3003179787 @default.
- W2897629950 hasRelatedWork W3014801356 @default.
- W2897629950 hasRelatedWork W3035290434 @default.
- W2897629950 hasRelatedWork W3109354406 @default.
- W2897629950 hasRelatedWork W48997180 @default.
- W2897629950 hasRelatedWork W768144876 @default.
- W2897629950 hasRelatedWork W99806001 @default.
- W2897629950 hasRelatedWork W2961394921 @default.
- W2897629950 hasRelatedWork W3169124969 @default.
- W2897629950 isParatext "false" @default.
- W2897629950 isRetracted "false" @default.
- W2897629950 magId "2897629950" @default.
- W2897629950 workType "article" @default.