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Brain Activity Reveals the Melodies That People Imagine

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研究者たちは、脳活動が想像された音楽のメロディーにおける音階を示すと報告しています(Medical Express)。

研究に参加した10人の癫癇患者は、脳表面に電極を取り付けられて臨床モニタリングを行っていました。最初の数小節を静かに聴きながら、その後のメロディーを想像し、思い浮かんだメロディーを囁いて歌うという手順で実験が行われました。患者の脳活動には、想像されたメロディーにおける相対的な音階に関する情報が含まれており、時間とともに音階予測を組み合わせることで、想像された曲の構造に沿ったメロディー変化を再現することができました。

「作成したモデルは相対的な音階クラス(ド、レ、ミなど)ではなく、正確な絶対的な音階ではなく解読します」と、ソウル国立大学の共同研究責任者ジェイ・クワンは述べています。「これは有用であり、人々は同じメロディーが異なるキーで演奏されたとしても、音符間の関係性からメロディーを認識することが多いからです。」

この研究成果は Slashdot でさらに詳しく紹介されています。
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."

Read more of this story at Slashdot.

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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.

Read more of this story at Slashdot.

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