{"id":544665,"date":"2018-10-11T08:53:09","date_gmt":"2018-10-11T15:53:09","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=544665"},"modified":"2020-06-04T14:18:09","modified_gmt":"2020-06-04T21:18:09","slug":"deep-neural-network-models-for-audio-quality-assessment","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/deep-neural-network-models-for-audio-quality-assessment\/","title":{"rendered":"Deep Neural Network Models for Audio Quality Assessment"},"content":{"rendered":"<div class=\"pre-wrap ng-binding\">With the proliferation of new and more complex multimedia and network services, measuring the perceived quality of audio signals has become crucial. Providers strive to deliver high quality and reliable services to their customers in order to assure them a good quality of experience (QoE). In this work, a new audio quality dataset labelled by humans is presented. Moreover, results of two DNN-based models for estimating the quality experienced by users of audio transmission and communication services are compared.<\/div>\n","protected":false},"excerpt":{"rendered":"<p>With the proliferation of new and more complex multimedia and network services, measuring the perceived quality of audio signals has become crucial. Providers strive to deliver high quality and reliable services to their customers in order to assure them a good quality of experience (QoE). In this work, a new audio quality dataset labelled by [&hellip;]<\/p>\n","protected":false},"featured_media":544668,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[243062,13551],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-544665","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-audio-acoustics","msr-research-area-graphics-and-multimedia","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/pp6MUlSFRX4","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/544665"}],"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":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/544665\/revisions"}],"predecessor-version":[{"id":544692,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/544665\/revisions\/544692"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/544668"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=544665"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=544665"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=544665"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=544665"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=544665"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=544665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}