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Brain Activity Reveals the Melodies That People Imagine

著者: EditorDavid
2026年8月10日 00:34

🤖 AI Summary

epilepsy患者の脳波から思い描いたメロディの音高が明らかになったという研究結果について、サシャドットから要約します。

研究者たちは、思考内で奏でられるメロディの音程を推定できる脳の信号を見つけ出したと報告しています。10人の被験者が聴覚モニタリング用に頭頂皮膚に電極を貼り付けられていたことを含む実験結果です。被験者は最初に子供向けの歌の数曲を静かに聴き、その後はメロディーを想像して口ずさみました。被験者の脳波から想像されたメロディ内の相対的な音程情報を得ることで、研究チームは想像された歌のメロディ構造を再現することができました。

共同リーダーのキォン教授(ソウル国立大学)は、「作曲者は同じメロディが異なるキーで奏でられているとしても、ノート同士の関係性によってそのメロディを認識することが多い。そのため我々のモデルでは音程クラス(ド、レ、ミなど)ではなく、具体的な絶対的な音程情報は扱いません」と述べています。

この研究結果は、脳活動から想像された旋律の詳細情報を解読する新しい手法を開発したことを示すものとして注目されています。
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.

Suno Says It Will Start Watermarking Songs

著者: BeauHD
2026年8月8日 03:00
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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