{"created":"2020-09-01T14:45:36.875296+00:00","id":4422,"links":{},"metadata":{"_buckets":{"deposit":"c845789c-e2d0-4f17-8ae3-2a69e1a71798"},"_deposit":{"id":"4422","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4422"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4422","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Testing Speech to Text Application on Android Platform","subitem_1551255648112":"en_US"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Speech recognition reduces the overhead causedby alternate communication methods. Speech has notbeen used much in the field of electronics andcomputers due to the complexity and variety ofspeech signals and sounds. However, with modernprocesses, algorithms, and methods we can processspeech signals easily and recognize the text. In thispaper, we are going to develop an on-line speech-totext engine. The system acquires speech at run timethrough a microphone and processes the sampledspeech to recognize the uttered text. An applicationlike voice search is developed in this work thatallows a user to record and convert spoken inputinto Bing Search Engine that will be search the user’sdata. This application will find the famous places inMyanmar. Speech recognition is done via the Internet,connecting to Google’s server. The application isadapted to input messages in English. Speechrecognition for Voice uses a technique based onHidden Markov Model (HMM). It is currently the mostsuccessful and most flexible approach to speechrecognition."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-10-25"}],"displaytype":"preview","filename":"Testing  Speech to Text Application on Android Platform.pdf","filesize":[{"value":"665 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4422/files/Testing  Speech to Text Application on Android Platform.pdf"},"version_id":"2cc2a7e1-4586-49c8-8ff0-662c7595ff27"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conference On Computer Applications (ICCA 2015)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Myint, Theint Zarni"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2015-02-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2356"},"item_title":"Testing Speech to Text Application on Android Platform","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-10-25","publish_status":"0","recid":"4422","relation_version_is_last":true,"title":["Testing Speech to Text Application on Android Platform"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:29:03.305967+00:00"}