01505nam a2200157Ia 4500008004100000041001200041082001600053100003100069245007500100260000900175500034400184510062600528942000701154999001901161952016701180231221s9999    xx            000 0 und d  aEnglish  aCPEC16-1186  aPurushotham, U. Suresh, K. 0aFeature Extraction In Enhancing Speech Signal For Mobile Communication  c2016  aFeature Extraction In Enhancing Speech Signal For                                               Mobile Communication  Purushotham.U, Dr. Suresh.K  Department of Electronics and Communication Engineering, PES University,  BSK III Stage, Bangalore-560085, India  IICIP-2016 IEEE Conference, Delhi Technological University, Delhi, August 2016  aMobile phones are considered as smart phones if it has additional characteristics other than regular wireless voice transmission. Smartness does not mean compromising with quality of voice under noisy conditions. This paper discusses about the methodology for improving the quality of voice signal under adverse noise conditions. Voice signal affected by real time noise signals is passed through amplitude estimator and from there on, it is processed in cepstral and multiband domain to extract the features of speech signal. The extracted speech is used to reconstruct the original signal which is free from real noise.  cIR  c233732d233732  r2024-01-26 00:00:00l0oCPEC16-1186pIR1186uhttps://ieeexplore.ieee.org/document/7975374w2024-01-26yIR1040708CL00aMLbMLcCLd0000-00-00EECGRSF1V0W0