sound101.org valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | Hello from The Cadenza Project | The Cadenza |
| Description | Description will go into a meta tag in <head |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 217.160.0.67 |
| Location | Germany |
Related Websites
| Site | Rank |
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sound101.org Valuation
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US$422,758
Last updated: 2023-05-13 14:50:00
sound101.org has Semrush global rank of 25,036,370. sound101.org has an estimated worth of US$ 422,758, based on its estimated Ads revenue. sound101.org receives approximately 48,780 unique visitors each day. Its web server is located in Germany, with IP address 217.160.0.67. According to SiteAdvisor, sound101.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$422,758 |
| Daily Ads Revenue | US$391 |
| Monthly Ads Revenue | US$11,708 |
| Yearly Ads Revenue | US$140,486 |
| Daily Unique Visitors | 3,252 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| sound101.org. | A | 3599 | IP: 217.160.0.67 |
| sound101.org. | NS | 86400 | NS Record: ns1017.ui-dns.de. |
| sound101.org. | NS | 86400 | NS Record: ns1017.ui-dns.com. |
| sound101.org. | NS | 86400 | NS Record: ns1017.ui-dns.biz. |
| sound101.org. | NS | 86400 | NS Record: ns1017.ui-dns.org. |
| sound101.org. | MX | 3600 | MX Record: 10 mx00.1and1.co.uk. |
| sound101.org. | MX | 3600 | MX Record: 10 mx01.1and1.co.uk. |
HtmlToTextCheckTime:2023-05-13 14:50:00
| Cadenza About Us About Us Contact Us Challenges Challenge 1 Learning Resources Latest The Cadenza Project Improving music listening for those with hearing impairment Quick links: About Us The Current Challenge Latest News How can we process and remix music so it sounds best for those with a hearing loss? The Cadenza project aims to better define what music personalised for someone with a hearing loss should sound like and exploit the latest in machine learning to create improved listening experiences. The improvement in music will be achieved by running a series of open signal processing challenges. Competitors will be ask to personalise and enhance music, through processing and/or remixing. “Running competitions is a great approach, because it will grow a new research community devoted to making music more accessible to all. Machine learning has revolutionised audio research, but too often it doesn’t consider the diversity of listeners. Professor Trevor Cox, The University of Salford |
HTTP Headers
HTTP/1.1 200 OK Content-Type: text/html; charset=UTF-8 Connection: keep-alive Keep-Alive: timeout=15 Date: Tue, 21 Dec 2021 14:36:28 GMT Server: Apache |
sound101.org Whois Information
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