{"version":"1.0","provider_name":"AI Matters","provider_url":"https:\/\/it.ai-matters.eu\/en\/","author_name":"editorial","author_url":"https:\/\/it.ai-matters.eu\/en\/author\/editorial\/","title":"AI4audio analysis - AI Matters","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"eHho983Ccq\"><a href=\"https:\/\/it.ai-matters.eu\/en\/produit\/ai4audio-analysis\/\">AI4audio analysis<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/it.ai-matters.eu\/en\/produit\/ai4audio-analysis\/embed\/#?secret=eHho983Ccq\" width=\"600\" height=\"338\" title=\"&#8220;AI4audio analysis&#8221; &#8212; AI Matters\" data-secret=\"eHho983Ccq\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/it.ai-matters.eu\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/it.ai-matters.eu\/wp-content\/uploads\/2026\/04\/Service20ITA86EX20-20Image20Banner-32.jpg","thumbnail_width":1920,"thumbnail_height":1080,"description":"The service is meant to support the implementation of artificial intelligence and machine learning models for the continuous analysis of sounds and noises generated, for example, on production lines and in plants (such as vibrations, knocking, friction, airflow, and acoustic alarms). The expected result is a validated AI-based solution able to analyze audio for different purposes such as: (i) early identification of anomalies or faults through the recognition of \"unexpected\" acoustic patterns compared to normal operations; (ii) generating operational insights to improve personnel comfort and safety (e.g., noise reduction)."}