{"id":1180419,"date":"2026-08-05T06:28:33","date_gmt":"2026-08-05T13:28:33","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-video&#038;p=1180419"},"modified":"2026-08-05T06:28:34","modified_gmt":"2026-08-05T13:28:34","slug":"paza-playbook-walkthrough","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/paza-playbook-walkthrough\/","title":{"rendered":"Paza Playbook Walkthrough"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This walkthrough video introduces the Paza Speech Playbook, an interactive guide designed to support researchers, developers, and machine learning practitioners in building robust speech technologies for low-resource and multilingual languages. Drawing on lessons from Microsoft Research&#8217;s work developing speech systems across minimal data African languages, the playbook consolidates practical guidance for the full speech model development lifecycle, from data collection and curation to model training, deployment, and evaluation. By the end of the video, viewers will understand how to navigate the playbook, identify the guidance most relevant to their needs, and apply proven practices to develop speech technologies that are more accurate, inclusive, and effective in low-resource and multilingual settings.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Paza &#8211; Guidelines for building robust speech models with minimal data: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/microsoft.github.io\/Paza\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/microsoft.github.io\/Paza\/<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This walkthrough video introduces the Paza Speech Playbook, an interactive guide designed to support researchers, developers, and machine learning practitioners in building robust speech technologies for low-resource and multilingual languages. Drawing on lessons from Microsoft Research&#8217;s work developing speech systems across minimal data African languages, the playbook consolidates practical guidance for the full speech model [&hellip;]<\/p>\n","protected":false},"featured_media":1180438,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556,13545,13568],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-1180419","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-research-area-technology-for-emerging-markets","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/zfEyAW3248w","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1180419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":5,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1180419\/revisions"}],"predecessor-version":[{"id":1180439,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1180419\/revisions\/1180439"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1180438"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1180419"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1180419"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=1180419"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1180419"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1180419"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=1180419"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1180419"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1180419"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=1180419"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=1180419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}