Five-year Clarity Challenge to help improve hearing aids

{"value":"\n\nThe ++[Clarity Challenge](http://claritychallenge.org/)++ is a five-year project with the goal of finding new ways to process sound inside hearing aids. Each year, scientists from around the world will participate in machine learning competitions to make speech more intelligible for people with hearing impairments. \n\nThe project is run by four universities in the UK: the University of Nottingham, the University of Sheffield, the University of Salford, and the University of Cardiff. The project is supported by the ++[Hearing Industry Research Consortium](https://hearingirc.com/)++ and the ++[Alexa Speech Research](https://www.amazon.science/tag/alexa)++ team. One of the project’s key aims is to bring together existing hearing-aid research and new machine learning techniques.\n\nThe Alexa Speech Research team is participating in project planning and serving on the project’s steering and scientific committees. Scientists from the Alexa team share technical expertise in speech processing, review scientific reports, and advise on the future directions of the project.\n\nThe Alexa Speech Research team is participating in project planning and serving on the project’s steering and scientific committees. Scientists from the Alexa team share technical expertise in speech processing, review scientific reports, and advise on the future directions of the project.\n\nThe Clarity Challenge held a ++[satellite workshop](https://claritychallenge.github.io/clarity2021-workshop/)++ on September 16 and 17 in which participants ++[presented their work](https://claritychallenge.github.io/clarity2021-workshop/programme.html)++ from the first round of the competition. The planning team that includes the Alexa Speech organization has published ++[a research paper](https://lnkd.in/dRmsxRM)++ that contains more details.\n\nAt Amazon, our focus is always on what we can do to help make our customers’ lives better. The Clarity Challenge is a great way to do that and consequently has our strong support. \n\nABOUT THE AUTHOR\n\n#### **[Daniel Korzekwa](https://www.amazon.science/author/daniel-korzekwa)**\n\nDaniel Korzekwa is an applied-science manager with the Amazon Text-to-Speech organization.\n\n\n\n","render":"<p><img src=\"https://dev-media.amazoncloud.cn/0eba2ee63929431ab7860efaeb7a9a43_image.png\" alt=\"image.png\" /></p>\n<p>The <ins><a href=\"http://claritychallenge.org/\" target=\"_blank\">Clarity Challenge</a></ins> is a five-year project with the goal of finding new ways to process sound inside hearing aids. Each year, scientists from around the world will participate in machine learning competitions to make speech more intelligible for people with hearing impairments.</p>\n<p>The project is run by four universities in the UK: the University of Nottingham, the University of Sheffield, the University of Salford, and the University of Cardiff. The project is supported by the <ins><a href=\"https://hearingirc.com/\" target=\"_blank\">Hearing Industry Research Consortium</a></ins> and the <ins><a href=\"https://www.amazon.science/tag/alexa\" target=\"_blank\">Alexa Speech Research</a></ins> team. One of the project’s key aims is to bring together existing hearing-aid research and new machine learning techniques.</p>\n<p>The Alexa Speech Research team is participating in project planning and serving on the project’s steering and scientific committees. Scientists from the Alexa team share technical expertise in speech processing, review scientific reports, and advise on the future directions of the project.</p>\n<p>The Alexa Speech Research team is participating in project planning and serving on the project’s steering and scientific committees. Scientists from the Alexa team share technical expertise in speech processing, review scientific reports, and advise on the future directions of the project.</p>\n<p>The Clarity Challenge held a <ins><a href=\"https://claritychallenge.github.io/clarity2021-workshop/\" target=\"_blank\">satellite workshop</a></ins> on September 16 and 17 in which participants <ins><a href=\"https://claritychallenge.github.io/clarity2021-workshop/programme.html\" target=\"_blank\">presented their work</a></ins> from the first round of the competition. The planning team that includes the Alexa Speech organization has published <ins><a href=\"https://lnkd.in/dRmsxRM\" target=\"_blank\">a research paper</a></ins> that contains more details.</p>\n<p>At Amazon, our focus is always on what we can do to help make our customers’ lives better. The Clarity Challenge is a great way to do that and consequently has our strong support.</p>\n<p>ABOUT THE AUTHOR</p>\n<h4><a id=\"Daniel_Korzekwahttpswwwamazonscienceauthordanielkorzekwa_16\"></a><strong><a href=\"https://www.amazon.science/author/daniel-korzekwa\" target=\"_blank\">Daniel Korzekwa</a></strong></h4>\n<p>Daniel Korzekwa is an applied-science manager with the Amazon Text-to-Speech organization.</p>\n"}