Deezer Makes a Tool to Find AI Music
Deezer Makes a Tool to Find AI Music
Deezer 開發工具以辨識 AI 音樂
Introduction
Deezer is a music company from France. They made a new tool. This tool finds music made by AI on many different apps.
Deezer 是一家來自法國的音樂公司。他們開發了一款新工具，可以在許多不同的應用程式中辨識 AI 創作的音樂。
Main Body
The tool looks at the sound. It can tell if a human or a computer made the song. It works with Spotify, Apple Music, and YouTube Music. Users can find AI songs and delete them.
該工具會分析聲音。它可以辨別歌曲是由人類還是電腦創作的。它支援 Spotify、Apple Music 以及 YouTube Music。使用者可以找出 AI 歌曲並將其刪除。
Deezer asked other companies to use this tool. The other companies said no. Now, Deezer gives the tool directly to the people. They want to protect real artists.
Deezer 曾要求其他公司使用此工具，但其他公司拒絕了。因此，Deezer 現在直接將該工具提供給使用者。他們希望保護真正的藝術家。
Many people upload AI music. Every day, 75,000 AI songs go on Deezer. But people do not like them. Most of the AI plays come from fake bots. Young people do not want to listen to AI music.
許多人上傳 AI 音樂。每天有 75,000 首 AI 歌曲上傳到 Deezer。但人們並不喜歡這些音樂。大多數的 AI 播放量來自虛擬機器人。年輕人並不希望聆聽 AI 音樂。
Conclusion
Deezer wants less AI music. They might change their rules or remove AI songs completely.
Deezer 希望減少 AI 音樂。他們可能會修改規則，或完全移除 AI 歌曲。
Vocabulary Learning
🎧 The Power of "TO + VERB"
In this story, we see a pattern that helps you express goals or actions. When you want to say why someone does something, use to + action word.
Look at these examples from the text:
- Tool to find AI music
- Deezer to protect real artists
- People to listen to AI music
💡 How to use it:
Imagine you have an object. What is it for?
- A pen to write
- A phone to call
- A car to drive
Quick Note: Notice that after "to", we keep the word simple. We do not add "-ing" or "-s".
❌ to finding ✅ to find
❌ to protects ✅ to protect
Vocabulary Learning
Deezer Launches New Tool to Detect AI-Generated Music Across Different Platforms
Deezer 推出新工具，可於不同平台偵測 AI 生成音樂
Introduction
The French streaming service Deezer has released a free tool designed to identify music created by AI across several competing digital platforms.
法國串流服務 Deezer 推出了一款免費工具，旨在識別多個競爭數位平台上由 AI 創作的音樂。
Main Body
The tool works by identifying specific patterns in the audio frequencies that are common in AI models like Udio and Suno. This allows the system to tell the difference between synthetic audio and music composed by humans. Users can scan playlists from twenty different services, including Spotify, Apple Music, and YouTube Music, as long as they provide the necessary permissions. However, while the tool flags AI content, the user must decide whether to remove the tracks manually.
該工具透過識別音頻頻率中特定的模式來運作，這些模式在 Udio 和 Suno 等 AI 模型中十分常見。這使得系統能夠區分合成音頻與人類作曲的音樂。只要使用者提供必要的權限，即可掃描來自 20 個不同服務的播放清單，包括 Spotify、Apple Music 和 YouTube Music。然而，儘管該工具會標記 AI 內容，使用者仍必須決定是否手動移除這些曲目。
This decision follows a period of disagreement regarding AI detection standards in the industry. Deezer previously tried to sell its detection technology to other companies, but most competitors preferred to use voluntary labels or their own private systems. Consequently, Deezer decided to offer the tool directly to consumers to increase transparency and protect the rights of artists.
此決定源於業界對 AI 偵測標準一段時間的分歧。Deezer 此前曾嘗試將其偵測技術出售給其他公司，但大多數競爭對手更傾向於使用自願標記或其自身的私有系統。因此，Deezer 決定直接將該工具提供給消費者，以增加透明度並保護藝術家的權益。
According to data from Deezer, there is a large gap between how much AI music is produced and how much is actually listened to. About 44% of new daily uploads are AI-generated, totaling around 75,000 tracks. In contrast, these tracks make up only 1% to 3% of total streams, and Deezer emphasizes that 85% of this activity is caused by fraudulent bots. Furthermore, data from Luminate shows that younger generations, such as Gen Z and Gen Alpha, are becoming more skeptical of AI music.
根據 Deezer 的數據，AI 音樂的產量與實際收聽量之間存在巨大差距。每日新上傳內容中，約 44% 為 AI 生成，總計約 75,000 首曲目。相比之下，這些曲目僅佔總播放量的 1% 至 3%，且 Deezer 強調，其中 85% 的活動是由詐欺機器人引起的。此外，Luminate 的數據顯示，Z 世代和 Alpha 世代等年輕一代對 AI 音樂變得更加懷疑。
Conclusion
Deezer continues to take a strict approach toward synthetic content and is considering further actions, such as changing supplier rules or removing AI content entirely.
Deezer 繼續對合成內容採取嚴格態度，並考慮進一步行動，例如更改供應商規則或完全移除 AI 內容。
Vocabulary Learning
⚡ The 'Bridge' Logic: From Simple to Sophisticated
At the A2 level, you likely use words like but, so, and and. To reach B2, you need to replace these with Logical Connectors. These words act like road signs, telling the reader exactly how two ideas relate.
🛠️ The Upgrade Path
Look at how this article transforms basic ideas into professional English:
-
Instead of "But" However
- A2: The tool flags AI music, but you must delete it yourself.
- B2: "However, while the tool flags AI content, the user must decide whether to remove the tracks manually."
- Why? However creates a stronger, more formal pause. It signals a contradiction more clearly than but.
-
Instead of "So" Consequently
- A2: Others didn't buy it, so Deezer gave it to users.
- B2: "Consequently, Deezer decided to offer the tool directly to consumers..."
- Why? Consequently describes a direct result of a previous action. It sounds more analytical and precise.
-
Instead of "Also" Furthermore
- A2: Gen Z doesn't like AI music also bots listen to it.
- B2: "Furthermore, data from Luminate shows that younger generations... are becoming more skeptical."
- Why? Furthermore is used to add a weightier or more important point to your argument.
💡 Quick B2 Formula
To move toward fluency, stop starting sentences with simple conjunctions. Try this pattern:
[Strong Connector] + [Comma] + [Full Sentence]
- Example: Consequently, the company changed its strategy.
- Example: Furthermore, the cost of living is rising.
🔑 Key Vocabulary shift observed:
Synthetic (B2) instead of Fake/Artificial (A2)
Vocabulary Learning
Deezer Implements Cross-Platform Synthetic Audio Detection Tool to Address Generative AI Proliferation.
Deezer 推出跨平台合成音訊偵測工具，以應對生成式 AI 泛濫問題
Introduction
The French streaming entity Deezer has deployed a public utility designed to identify AI-generated musical content across multiple competing digital platforms.
法國串流媒體公司 Deezer 已部署一項公開工具，旨在識別多個競爭數位平台上的 AI 生成音樂內容。
Main Body
The technical architecture of the tool relies on the identification of frequency artifacts—specific spectral peaks inherent to generative models such as Udio and Suno—to distinguish synthetic audio from human composition. This utility facilitates the scanning of playlists from twenty distinct services, including Spotify, Apple Music, and YouTube Music, provided the user grants the necessary access permissions. While the system flags synthetic content, the removal of such tracks remains a manual user prerogative.
該工具的技術架構依賴於識別「頻率偽像」——即 Udio 和 Suno 等生成模型固有的特定頻譜峰值——以區分合成音訊與人類創作。只要使用者授予必要的存取權限，此工具即可掃描來自 Spotify、Apple Music 和 YouTube Music 等 20 個不同服務的播放清單。雖然系統會標記合成內容，但刪除此類曲目仍屬於使用者的手動權限。
This strategic deployment follows a period of institutional friction regarding the adoption of AI detection standards. Deezer previously attempted to license its detection technology to industry competitors; however, these entities largely adhered to voluntary tagging systems or developed proprietary alternatives, such as Qobuz. Consequently, Deezer has pivoted toward a direct-to-consumer model to enhance transparency and safeguard intellectual property rights.
此次戰略部署是在一段關於 AI 偵測標準的制度摩擦後進行的。Deezer 此前曾嘗試將其偵測技術授權給行業競爭對手；然而，這些實體大多堅持使用自願標記系統，或開發了專有替代方案（如 Qobuz）。因此，Deezer 已轉向直接面對消費者的模式，以提升透明度並保障知識產權。
Quantitative data provided by Deezer indicates a significant disparity between content production and consumer consumption. Approximately 44% of new uploads to the platform are AI-generated, totaling roughly 75,000 tracks daily. Conversely, these tracks account for only 1% to 3% of total streams, with an estimated 85% of that activity attributed to fraudulent bot-driven streaming. Furthermore, data from Luminate suggests a decline in consumer interest in AI music, with a notable increase in skepticism among Gen Z and Gen Alpha demographics between May and November 2025.
Deezer 提供的量化數據顯示，內容生產與消費者消費之間存在顯著差異。平台約 44% 的新上傳內容為 AI 生成，每日總計約 75,000 首曲目。相反，這些曲目僅佔總串流次數的 1% 至 3%，且估計其中 85% 的活動歸因於欺詐性的機器人驅動串流。此外，Luminate 的數據顯示，消費者對 AI 音樂的興趣有所下降，Z 世代與 Alpha 世代在 2025 年 5 月至 11 月間的懷疑心理顯著增加。
Conclusion
Deezer continues to pursue a restrictive policy toward synthetic content, contemplating further measures such as the modification of supplier policies or total content removal.
Deezer 將繼續對合成內容採取限制政策，並考慮採取進一步措施，例如修改供應商政策或完全刪除內容。
Vocabulary Learning
The C2 Nexus: Nominalization and Lexical Density
To move from B2 to C2, a student must shift from describing actions to conceptualizing processes. The provided text is a masterclass in High-Density Nominalization—the linguistic process of turning verbs or adjectives into nouns to create a formal, objective, and authoritative tone.
◈ The Anatomy of the Pivot
Observe the transition from a standard narrative to a C2 academic register:
- B2 approach (Verbal): "Deezer tried to sell its technology to other companies, but they didn't want it, so Deezer decided to give it to users instead."
- C2 approach (Nominal): "This strategic deployment follows a period of institutional friction... Consequently, Deezer has pivoted toward a direct-to-consumer model."
◈ Deconstructing the 'Power Phrases'
- "Institutional friction" Instead of saying "companies argued," the author uses a noun phrase. Friction transforms a social conflict into a systemic phenomenon.
- "Manual user prerogative" This is a sophisticated replacement for "the user's choice." Prerogative implies an exclusive right or privilege, elevating the legal nuance of the sentence.
- "Generative AI proliferation" Proliferation does more than mean "growth"; it implies a rapid, often uncontrolled increase, providing a precise qualitative shade that "increase" lacks.
◈ The "Semantic Weight" Strategy
C2 mastery requires the ability to pack immense meaning into a few words. Note how the text uses Attributive Adjectives to qualify nouns without needing relative clauses:
"...specific spectral peaks inherent to generative models..."
Instead of saying "peaks which are spectral and are inherent to...", the author stacks the modifiers. This creates a "dense" reading experience typical of peer-reviewed journals and high-level corporate intelligence.
◈ Stylistic Takeaway
To emulate this, stop asking "What happened?" (Verb-centric) and start asking "What is the name of this phenomenon?" (Noun-centric). Turn your actions into entities.