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Recently, Google researchers published a paper describing results from an artificial intelligence (AI) tool, called MusicLM, built to create music. It is not the first AI music tool to launch. But the examples Google provides demonstrate musical creative ability based on a limited set of descriptive words. AI shows how complex computer systems have been trained to behave in human-like ways. Google engineers explain the MusicLM system this way:
First, a user comes up with a word or words that describe the kind of music they want the tool to create. For example, a user could enter this short phrase into the system: “a continuous calming violin backed by a soft guitar sound.” The descriptions entered can include different music styles, instruments or other existing sounds. Several different music examples produced by MusicLM were published online. Some of the generated music came from just one-or-two-word descriptions, such as “jazz”, or “techno”. The system created other examples from more detailed descriptions containing whole sentences. In the resulting recording, the music seems to keep very close to the description. The team said that the more detailed the description is, the better the system can attempt to produce it.
In addition to generating new music from written descriptions, the team said the system can also create examples based on a person’s own singing, whistling or playing an instrument. The researchers said the tool “produces high-quality music...over several minutes, while being faithful to the text conditioning signal”.
Although it hasn’t been released for public use, Google announced it was releasing a “high-quality dataset (数据集)” of more than 5,500 music-writing pairs prepared by professional musicians called MusicCaps. The researchers took that step to assist in the development of other AI music generators.
The MusicLM researchers said they believe they have designed a new tool to help anyone quickly and easily create high-quality music selections. However, the team said it also recognizes some risks linked to the machine learning process.
1．How does MusicLM work?| A．It adapts music from recordings. |
| B．It generates music from written descriptions. |
| C．It teaches users how to play a musical instrument. |
| D．It recommends songs based on a user’s listening history. |
| A．To display the capabilities of MusicLM. |
| B．To allow the public to use MusicLM. |
| C．To help develop other AI music generators. |
| D．To promote the MusicCaps music-writing service. |
| A．It can improve the overall quality of music in the industry. |
| B．It can replace human musicians and composers. |
| C．It can produce music that is more complex than human-made music. |
| D．It can create music quickly and efficiently. |
| A．Google has developed MusicLMA to create music from written descriptions and other inputs. |
| B．MusicLM-an example of AI systems can behave in human-like ways. |
| C．MusicLM can create music following written descriptions and using others as input. |
| D．Google has released a dataset to help develop other AI music generators. |
同类型试题
y = sin x， x∈R， y∈[–1，1]，周期为2π，函数图像以 x = (π/2) + kπ 为对称轴
y = arcsin x， x∈[–1，1]， y∈[–π/2，π/2]
sin x = 0 ←→ arcsin x = 0
sin x = 1/2 ←→ arcsin x = π/6
sin x = √2/2 ←→ arcsin x = π/4
sin x = 1 ←→ arcsin x = π/2
y = sin x， x∈R， y∈[–1，1]，周期为2π，函数图像以 x = (π/2) + kπ 为对称轴
y = arcsin x， x∈[–1，1]， y∈[–π/2，π/2]
sin x = 0 ←→ arcsin x = 0
sin x = 1/2 ←→ arcsin x = π/6
sin x = √2/2 ←→ arcsin x = π/4
sin x = 1 ←→ arcsin x = π/2
