[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-183239-105":59,"doc-detail-183239-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":64,"keywords":65,"description":66,"schema_data":67,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","saget24-interspeech","","This document presents comprehensive data tables detailing experimental results for the Blizzard Challenge (BC) and VoiceMOS Challenge (BVCC). The data encompasses various years, from 2008 to 2020, and includes training, validation, and testing set sizes across different modes: Batch, Lifelong, and Continuous Lifelong (C. Lifelong). Specific performance metrics, including mean and standard deviation, are reported for different datasets and modes, providing insights into the effectiveness of various approaches. The tables highlight the impact of different training strategies on test results, with a particular focus on the BC and BVCC datasets. Additionally, the document includes a section on performance analysis at different thresholds (25% and 50%) for both Batch and C. Lifelong modes, demonstrating the robustness and performance characteristics of the evaluated methods across varying data distributions.",{"@graph":68,"@context":122},[69,83,105],{"@type":70,"itemListElement":71},"BreadcrumbList",[72,76,78,81],{"item":73,"name":74,"@type":75,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":77,"name":9,"@type":75,"position":14},"https://docshare.wps.com/document/",{"item":79,"name":40,"@type":75,"position":80},"https://docshare.wps.com/document/research-report/",3,{"item":82,"name":64,"@type":75,"position":19},"https://docshare.wps.com/document/saget24-interspeech/183239/",{"url":82,"name":64,"@type":84,"image":85,"author":90,"headline":64,"publisher":93,"fileFormat":96,"inLanguage":63,"description":66,"dateModified":97,"datePublished":98,"encodingFormat":96,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":86,"@type":87,"width":88,"height":89},"https://docshare.wps.com/thumbnails/saget24-interspeech/183239.png","ImageObject",300,407,{"name":91,"@type":92},"Riley West","Person",{"url":73,"name":94,"@type":95},"DocShare","Organization","application/pdf","2026-11-01","2026-09-02",true,{"@type":101,"interactionType":102,"userInteractionCount":104},"InteractionCounter",{"@type":103},"ViewAction",14,{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What are the main datasets used in this document?","Question",{"text":112,"@type":113},"The document primarily uses data from the Blizzard Challenge (BC) and the VoiceMOS Challenge (BVCC).","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What are the different modes of operation described for the experiments?",{"text":117,"@type":113},"The experiments consider three modes: Batch mode, Lifelong mode, and Continuous Lifelong (C. Lifelong) mode.",{"name":119,"@type":110,"acceptedAnswer":120},"What kind of performance metrics are reported?",{"text":121,"@type":113},"The document reports mean and standard deviation values for test results, indicating the performance of different training strategies on the BC and BVCC datasets.","https://schema.org",{"og:url":82,"og:type":124,"og:title":64,"og:site_name":94,"og:description":66},"article",{"robots":126,"canonical":82},"index,follow",{"doc_id":128,"site_id":62},183239,1788351840,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":91,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":64,"doc_description":66,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":104,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":24,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":66,"update_tm":129,"read_time":143,"preview_page_count":4},1099523885074,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","| Blizzard Challenge data (BC) |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Batch mode |  |  | Lifelong mode |  |  | C. Lifelong mode |  |  |\n| Year | train | val | test | train | val | test | train | val | test |\n| 2008 | 2529 | 631 | - | 706 | 176 | - | 706 | 176 | - |\n| 2009 |  |  |  | 545 | 136 |  | 1251 | 312 |  |\n| 2010 |  |  |  | 518 | 130 |  | 1769 | 442 |  |\n| 2011 |  |  |  | 406 | 101 |  | 2175 | 543 |  |\n| 2012 |  |  |  | 354 | 88 |  | 2529 | 631 |  |\n| 2013 | - | - | 563 | - | - | 563 | - | - | 563 |\n| VoiceMOS Challenge data (BVCC) |  |  |  |  |  |  |  |  |  |\n| 2008 | 4374 | 1096 | - | 638 | 160 | - | 638 | 160 | - |\n| 2009 |  |  |  | 546 | 137 |  | 1184 | 297 |  |\n| 2010 |  |  |  | 547 | 137 |  | 1731 | 434 |  |\n| 2011 |  |  |  | 395 | 99 |  | 2126 | 533 |  |\n| 2013 |  |  |  | 334 | 84 |  | 2460 | 617 |  |\n| 2016 |  |  |  | 1124 | 281 |  | 3584 | 898 |  |\n| 2018 |  |  |  | 790 | 198 |  | 4374 | 1096 |  |\n| 2020 | - | - | 1254 | - | - | 1254 | - | - | 1254 |\n\n| Training |  | Test |  |  |\n| --- | --- | --- | --- | --- |\n| Data | Mode | BC (2013) | BVCC(2020) | SOMOS |\n| BC\u003Cbr>\u003C2013 | Batch | 0.837±0.008 | 0.721±0.060 | 0.490±0.039 |\n|  | Lifelong | 0.811±0.010 | 0.737±0.004 | 0.484±0.019 |\n|  | C. Lifelong | 0.835±0.004 | 0.734±0.003 | 0.555±0.013 |\n| BVCC\u003Cbr>\u003C2020 | Batch | 0.744±0.110 | 0.831±0.006 | 0.337±0.120 |\n|  | Lifelong | 0.820±0.010 | 0.814±0.007 | 0.353±0.026 |\n|  | C. Lifelong | 0.836±0.006 | 0.811±0.009 | 0.367±0.020 |\n\n\n|  |  | 25% | 50% |\n| --- | --- | --- | --- |\n| BC | Batch | 0.218±0.071 | 0.495±0.132 |\n|  | C. Lifelong | 0.805±0.011 | 0.818±0.008 |\n| BVCC | Batch | 0.571±0.141 | 0.740±0.029 |\n|  | C. Lifelong | 0.745±0.011 | 0.775±0.010 |","cbCaiolczasws3zo","https://ap.wps.com/l/cbCaiolczasws3zo","pdf",531951,"English","# Blizzard Challenge Data (BC)\n## VoiceMOS Challenge Data (BVCC)\n# Training and Test Results","[{\"question\":\"What are the main datasets used in this document?\",\"answer\":\"The document primarily uses data from the Blizzard Challenge (BC) and the VoiceMOS Challenge (BVCC).\"},{\"question\":\"What are the different modes of operation described for the experiments?\",\"answer\":\"The experiments consider three modes: Batch mode, Lifelong mode, and Continuous Lifelong (C. Lifelong) mode.\"},{\"question\":\"What kind of performance metrics are reported?\",\"answer\":\"The document reports mean and standard deviation values for test results, indicating the performance of different training strategies on the BC and BVCC datasets.\"}]","saget24-interspeech | PDF",13]