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Brain Activity Reveals the Melodies That People Imagine

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研究者たちは、脳活動から想像された音楽メロディのピッチを推定できる可能性があることを示唆しています。医療エキスプレスが報じた研究によると、10人の epileps 症患者に脳表面の電極を装着し、耳元で子供向けの歌の最初の部分を静かに聴いてから、想像したメロディーを思い浮かべて囁いたという実験が行われました。研究チームは、これらの患者の脳活動から想像されたメロディー内の相対的なピッチ情報を抽出し、時間経過とともにノートレベルのピッチ予測を組み合わせることで、想像された歌の構造に反映されるメロディ変化を再現しました。

「作成したモデルは、ドゥ、レ、ミ、ファ、ソ、ラなどの相対的なピッチクラスを解読します。絶対的なピッチではなく、音程間の関係性に基づいてメロディーを認識することが多いからです」と研究共同リーダーのキム・ギジュ(首爾国立大学)は述べています。

この研究成果は、人間が音楽メロディを認識する際の相対的なピッチ情報が重要であることを示唆しています。
Researchers believe they've found evidence that brain signals reveal the pitches of notes in imagined musical melodies, reports Medical Express: Study participants were 10 epilepsy patients with electrodes on the surfaces of their brains for clinical monitoring. Participants quietly listened to the first bars of children's tunes, then imagined the melodies of subsequent bars before humming their imagined melodies. Brain activity from the patients carried information about relative pitches within the imagined melodies. Combining note-level pitch predictions over time allowed the research team to recreate melodic changes that reflected the structure of the imagined songs... "The model we created decodes relative pitch classes — such as do, re, mi, fa, sol, and la — rather than exact, absolute pitches," [said tudy co-lead Jii Kwon of Seoul National University]. "This is useful because people often recognize melodies by the relationships between notes, even when the same melody is played in a different key."

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Suno Says It Will Start Watermarking Songs

✇Slashdot
著者: BeauHD
Suno says it will begin watermarking and fingerprinting AI-generated songs, tighten download policies to curb mass distribution, and explicitly prohibit deceptive audio and unauthorized voice or likeness cloning. The changes come as the company faces mounting copyright lawsuits, a recent adverse ruling in Germany, and scrutiny over a past data breach that revealed training-data sources. TechCrunch reports: In a blog post, co-founder and CEO Mikey Shulman shared core principles and said that the platform wants to promote original creation while enabling more people to make music with its AI tools. One of the key points of contention involved users uploading AI-generated songs on other streaming platforms and gaming the system to earn revenue. Suno said that now it will use audio watermarking and fingerprinting to prevent misuse on other streaming platforms. It's not clear if Suno will use an existing system like Google's Synth ID or adopt a new one, and the company did not say when contacted by TechCrunch about this. The startup also signed an agreement with lyrics provider Musixmatch to use its Sentinel system for copyright detection, the blog post said. [...] The company added that it plans to add a new download policy to bar mass distribution on streaming platforms, but declined to provide details on the record. Suno has also changed its community guidelines to explicitly prohibit "deceptive audio presented as real" and "using a real person's voice or likeness without permission" to prevent copycats.

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