{"id":197,"date":"2021-03-09T12:54:56","date_gmt":"2021-03-09T12:54:56","guid":{"rendered":"http:\/\/generic.wordpress.soton.ac.uk\/isvr\/?p=197"},"modified":"2021-06-22T21:03:47","modified_gmt":"2021-06-22T20:03:47","slug":"non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures","status":"publish","type":"post","link":"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\/","title":{"rendered":"Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures"},"content":{"rendered":"\n<h3 class=\"has-text-align-center wp-block-heading\">Audio and Speech Processing<em> <\/em><\/h3>\n\n\n\n<h3 class=\"has-text-align-center wp-block-heading\"><em>Bleeck S., Karbasi M.,  Kolossa D.<\/em><\/h3>\n\n\n\n<p class=\"has-drop-cap has-text-align-center\">Developing automatic systems that can improve noisy speech is hard. In order to facilitate the process, it is necessary to know how well humans understand speech in noise. However, such measurements are time consuming and expensive. We have developed an automatic system to predict how well people understand speech in noise, which unlike most other methods, does not need the clean signal as reference (that is usually not available in the real world) but instead we use machine learning (based on automatic speech recognition like Siri on the iPhone) to predict how we would hear in the real world. Our method has been demonstrated to be better than commonly used systems and has the potential to be used much more often in future. <\/p>\n\n\n\n<hr class=\"wp-block-separator is-style-dots\" \/>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"583\" height=\"298\" src=\"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/wp-content\/uploads\/sites\/413\/2021\/03\/Non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures.png\" alt=\"\" class=\"wp-image-199\" srcset=\"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/wp-content\/uploads\/sites\/413\/2021\/03\/Non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures.png 583w, https:\/\/generic.wordpress.soton.ac.uk\/isvr\/wp-content\/uploads\/sites\/413\/2021\/03\/Non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures-300x153.png 300w\" sizes=\"auto, (max-width: 583px) 100vw, 583px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link\" href=\"https:\/\/arxiv.org\/abs\/2010.08574\">Go to the publication<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Audio and Speech Processing Bleeck S., Karbasi M., Kolossa D. Developing automatic systems that can improve noisy speech is hard. In order to facilitate the process, it is necessary to know how well humans understand speech in noise. However, such measurements are time consuming and expensive. We have developed an automatic system to predict how &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures&#8221;<\/span><\/a><\/p>\n","protected":false},"author":4860,"featured_media":199,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[12],"class_list":["post-197","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","tag-research-output","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures - Institute of Sound and Vibration Research<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures - Institute of Sound and Vibration Research\" \/>\n<meta property=\"og:description\" content=\"Audio and Speech Processing Bleeck S., Karbasi M., Kolossa D. Developing automatic systems that can improve noisy speech is hard. In order to facilitate the process, it is necessary to know how well humans understand speech in noise. However, such measurements are time consuming and expensive. We have developed an automatic system to predict how &hellip; Continue reading &quot;Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\/\" \/>\n<meta property=\"og:site_name\" content=\"Institute of Sound and Vibration Research\" \/>\n<meta property=\"article:published_time\" content=\"2021-03-09T12:54:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-06-22T20:03:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/generic.wordpress.soton.ac.uk\/isvr\/wp-content\/uploads\/sites\/413\/2021\/03\/Non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures.png\" \/>\n\t<meta property=\"og:image:width\" content=\"583\" \/>\n\t<meta property=\"og:image:height\" content=\"298\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Vanui Mardanyan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@ISVRSouthampton\" \/>\n<meta name=\"twitter:site\" content=\"@ISVRSouthampton\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Vanui Mardanyan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\\\/\"},\"author\":{\"name\":\"Vanui Mardanyan\",\"@id\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/#\\\/schema\\\/person\\\/b27ebc581765f5c4ad0eab378d7d7897\"},\"headline\":\"Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures\",\"datePublished\":\"2021-03-09T12:54:56+00:00\",\"dateModified\":\"2021-06-22T20:03:47+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\\\/\"},\"wordCount\":147,\"image\":{\"@id\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/wp-content\\\/uploads\\\/sites\\\/413\\\/2021\\\/03\\\/Non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures.png\",\"keywords\":[\"Research Output\"],\"articleSection\":[\"Research\"],\"inLanguage\":\"en-GB\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\\\/\",\"url\":\"https:\\\/\\\/generic.wordpress.soton.ac.uk\\\/isvr\\\/non-intrusive-speech-intelligibility-prediction-using-automatic-speech-recognition-derived-measures\\\/\",\"name\":\"Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures - 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