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      <description>Music tech and AI in music: the news that matters, what we think about it, and a directory of the tools.</description>
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      <lastBuildDate>Mon, 02 Nov 2026 04:30:00 GMT</lastBuildDate>
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    <guid>https://wearethemusicmakers.co/news/2026/11/gangqinpu-piano-dataset-audio-midi-scores</guid>
    <title>Gangqinpu: 1,000 hours of piano with the score attached, and a licence that keeps it in the lab</title>
    <link>https://wearethemusicmakers.co/news/2026/11/gangqinpu-piano-dataset-audio-midi-scores</link>
    <description>A new piano dataset pairs 18,786 performances with their written scores across pop, classical, jazz, folk, rock and blues. It could help transcription and humanising tools move beyond classical music, but the data is non-commercial only and the audio itself is not redistributed.</description>
    <pubDate>Mon, 02 Nov 2026 04:30:00 GMT</pubDate>
    <dc:creator>We are the music makers</dc:creator>
    <category>research</category><category>ai-training</category><category>transcription</category><category>midi</category><category>music-information-retrieval</category>
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    <guid>https://wearethemusicmakers.co/news/2026/11/music-sample-identification-dataset</guid>
    <title>A 130,000-track dataset for sample identification, and what it can&#39;t clear for you</title>
    <link>https://wearethemusicmakers.co/news/2026/11/music-sample-identification-dataset</link>
    <description>Four researchers have built a sample identification dataset with about 114k training tracks, nearly three orders of magnitude larger than earlier benchmarks. Better sample detection could help clearance and royalty claims, but the data is research-only and the paper reports no accuracy figures yet.</description>
    <pubDate>Sun, 01 Nov 2026 07:30:00 GMT</pubDate>
    <dc:creator>We are the music makers</dc:creator>
    <category>research</category><category>sampling</category><category>sample-clearance</category><category>music-information-retrieval</category><category>artist-rights</category>
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    <guid>https://wearethemusicmakers.co/learn/ai-tools-for-indian-classical-music</guid>
    <title>AI tools for Indian classical musicians: what they do, and what they get wrong</title>
    <link>https://wearethemusicmakers.co/learn/ai-tools-for-indian-classical-music</link>
    <description>Practice apps already give Indian classical musicians a responsive tanpura, tabla and pitch feedback. Raga identification works in research on curated datasets but is shakier on real riyaz. Here is what the tools and the research actually show. Sources checked on 29 Oct 2026.</description>
    <pubDate>Sun, 01 Nov 2026 05:30:00 GMT</pubDate>
    <dc:creator>We are the music makers</dc:creator>
    <category>indian-classical</category><category>practice</category><category>music-information-retrieval</category><category>india</category>
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    <guid>https://wearethemusicmakers.co/learn/harmonic-mixing-and-key-detection</guid>
    <title>Harmonic mixing and key detection: the Camelot wheel, and where the software gets keys wrong</title>
    <link>https://wearethemusicmakers.co/learn/harmonic-mixing-and-key-detection</link>
    <description>The Camelot wheel turns the circle of fifths into numbers so DJs can pick tracks that blend. Key detectors match a track&#39;s pitch profile against templates, which is why they confuse related keys, struggle with tuning and stumble on modal or key-changing music. Sources checked on 30 Oct 2026.</description>
    <pubDate>Sun, 01 Nov 2026 05:30:00 GMT</pubDate>
    <dc:creator>We are the music makers</dc:creator>
    <category>harmonic-mixing</category><category>music-information-retrieval</category><category>dj</category>
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