{"created":"2020-09-01T13:35:39.432560+00:00","id":3822,"links":{},"metadata":{"_buckets":{"deposit":"d0831b93-9c2f-4330-9f93-c7f21812e778"},"_deposit":{"id":"3822","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3822"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3822","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Voice Conversion Method for Myanmar Speech Synthesis","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Speaker independent speech recognition isimportant for successful development of speechrecognizer in most real world applications. This paperemphasizes speaker independent based on voiceconversion usinga pitch shifting method,PitchSynchronousOver Lap Add Algorithm (PSOLA).Itdepends on detecting the pitch of the signal(fundamental frequency) and changing it according tothe target pitch period using time stretching with PitchSynchronousOver Lap Add Algorithm (PSOLA), thenresampling the signal in order to have the same playrate.The traditional voice activity detection algorithmswhich track only energy cannot successfully identifypotential speech from input because the unwanted partof the speech also has some energy and appears to bespeech. In the proposed system, VAD (Voice ActivityDetection) that calculates energy of high frequencypart separately as zero crossing rate to differentiatenoise from speech is used."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Myanmar Speech Synthesis"},{"interim":"VAD"},{"interim":"Energy"},{"interim":"Zero Crossing Rate"},{"interim":"TD-PSOLA"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-03"}],"displaytype":"preview","filename":"4. Voice Conversion Method for Myanmar Speech Synthesis.pdf","filesize":[{"value":"158 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3822/files/4. Voice Conversion Method for Myanmar Speech Synthesis.pdf"},"version_id":"473ed976-e8a5-470e-a91a-3f56a57079da"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conferences 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":"Tun, Tar Yar Myo"}]}]},"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/123456789/155"},"item_title":"Voice Conversion Method for Myanmar Speech Synthesis","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"3822","relation_version_is_last":true,"title":["Voice Conversion Method for Myanmar Speech Synthesis"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:58:09.630614+00:00"}