AI驳倒转型论 | 夕阳伴我归 陈淑桦 Sarah Chen | Sunset Follows Me Home 1982 | AI refutes Mandopop Mistake

(Lyrics in CC). 【综述】1982《夕阳伴我归》是陈淑桦职业的第一个突破，但关于她转型的说法出在80年代末。我们用大型语言模型人工智能分析了陈淑桦的中文歌曲，鉴定她歌唱转型的时间，是否符合陈淑桦被滚石制作人成功转型的说法。客观数据完全驳斥了转型论，表明她的作品只有逐渐演变而没有突然转型。LLM4将她逐渐演变的开端定在1983-1986EMI期间，而不是滚石时期。这一发现推翻了30多年来对陈淑桦不公正的职业叙述。虽然转型论被驳倒，要去掉它的负作用还得看台湾歌坛，滚石唱片，及相关人士是否有勇气矫枉过正。
=====
一个广为接受的陈淑桦职业叙述是“转型论”，在2003年《给淑桦的一封信》中有总结，认为陈淑桦成功的关键是滚石制作人将她从一个悲情歌手转型为华语流行天后。这个叙述是没有证据的主观看法，但却被广泛接受。对陈淑桦的在线叙述总把男词曲作者和制作人放在首位，她成了完成他人梦想的好嗓子。但陈淑桦的作品真的经历了转型吗？如果有，转型与历来认可的1987-1989年相符吗？
在2024年，先进的人工智能，如在ChatGPT 4.0中实施的大型语言模型（LLM4），为转型理论提供了一个客观测试。LLM4在识别类比和分析文本（包括中文）方面非常出色。惊讶的是，它的分析彻底驳倒转型论：陈淑桦的音乐只是逐步演变，没有明确的变化点。LLM4识别出的逐步演变开始的时间段是1983-1986年，即陈淑桦在EMI的时期，不是滚石。这一客观的、数据驱动的分析完全推翻了转型论。数据分析详情在文末。
这一发现提出两个问题。首先，为什么转型轮如此广泛地被接受，尽管它没有证据，只是主观论调？我们可能无法确定，但有两个因素促成它的接受：社会对男性主导地位的认可，以及人们思维推理中的确认偏向 (confirmation bias)。其次，面对这些客观数据，大家应该怎样来纠正这一情况？歌迷可以做的最直接的是修正百度、维基及其他音乐网站上将陈淑桦框定在合作者上的叙述。但真要去掉转型论的负面影响，最终还得看台湾音乐界和转型论的倡导者是否有勇气矫枉过正。
A prevailing narrative about Sarah Chen's career is the "transformation theory," summarized in the 2003 "A Letter to Sarah," which claims that the producers' effort to transform Chen from a singer of sad songs to a Mandopop diva was essential for her success. This narrative is a subjective opinion without evidence, but it has been widely accepted. Online narratives about Sarah Chen inevitably link her to male producers from the late 1980s, reducing her to a transformed singer with a good voice. But did Sarah Chen's work undergo a transformation? If so, did it correspond to the claimed period, 1987-1989?
In 2024, advanced artificial intelligence, such as the Large Language Model implemented in ChatGPT 4.0, provides an objective test of the transformation theory. LLM4 is excellent at identifying analogies and analyzing text, including text in Chinese. Its analysis resoundingly refutes the transformation theory, showing only gradual evolution of Sarah Chen's music without an abrupt change. The time period that LLM4 identified as the beginning of that gradual evolution was 1983-1986, Chen's time with EMI, not Rock Records. This objective, data-driven analysis debunks the transformation theory.
The finding raises two questions. First, why was the transformation theory so widely accepted, despite it having no evidence? We may not know for sure, but two factors may have contributed to its acceptance: societal acceptance of male dominance and the confirmation bias in human reasoning. Second, with the powerful, objective data on hand, what can one do to help correct the course? The most direct action you may take is to fix websites, such as Baidu, wiki, and other music sites, that frame Sarah Chen in terms of her collaborators. Ultimately, the responsibility falls on the Taiwan music industry and proponents of the transformation theory to correct the mistakes.
Supplementary: Analysis Methods
1. Dataset
The data comprises of Sarah Chen's discography, including release date, album title, record label, language, song title, composer, lyricist, and lyrics. The songs fall into 5 phases:
Phase 1 Childhood 1967-78
Phase 2 Early adulthood with Haishan 1979-82
Phase 3 Mid-career with EMI 1983-86
Phase 4 Early career with Rock 1987-91
Phase 5 Late career with Rock 1992-98
This analysis focused on the Chinese songs, a total of 341 songs (84, 85, 70, 60, and 42 across phases). Chinese Lyrics were available for 306 songs (57, 82, 65, 60, and 42 across phases).
2. ChatGPT 4.0 prompt
After feeding the data to ChatGPT 4.0 and asking it to do a few summaries, we used the following prompt:
"People sometimes say that Sarah Chen had made a transformation sometime during her career. Based on the lyrics of the Chinese songs provided, can you identify the approximate time period during which this transformation happened? Or, if you do not notice significant transformations, tell me your reasons too."
3. ChatGPT 4.0 response
After indicating its analysis method (see the video) focusing on changes in themes and emotional tones, ChatGPT identified the major theme (love), secondary theme (loneliness), and emotional tone of each phase, noting no change in themes but some changes in emotional tones. Its conclusion was that Sarah Chen's music gradually became more mature, without a sudden transformation.
To quote the answer: "The changes in her music reflect a growing maturity and emotional depth over time, particularly starting from Phase 3 (1983 - 1986), when her lyrics began to delve more deeply into the complexities of love and loneliness."
This song is part of "歌中的陈淑桦 Sarah Chen in Her Songs" series. Playlist here:
• 歌中的陈淑桦 Sarah Chen in H...
陈淑桦海山作品集： • 陈淑桦全集2. 成年后海山全集 Sarah ...
RUclips: The copyright owners allow the copyright content of this video to be used on RUclips.
Channel: All rights belong to the original copyright holders. This channel does not monetarize its content. This video is created to showcase some of Sarah Chen’s work.

[@玉琼邓-x3s]

每个阶段淑桦姐的音色都不一样，首首都是悦耳动听！

[@SarahChenMemoryGate]

@玉琼邓-x3s: Thanks. While we only analyzed lyrics using LLM4, it is possible to analyze voice changes over time. There are known age-related changes in fundamental frequency, timbre/tone quality, voice range, etc., and existing tools can analyze spectrograms to get to this. It would not be surprising if Sarah Chen's major voice changes occurred between ages 9 and 18, which is irrelevant for evaluating her putative 'transformation' at ages 28-30.

[@changpingchun]

陳淑樺 一直都是陳淑樺！
有人模仿鄧麗君、蘇芮等等的
就是沒有人有辦法模仿陳淑樺

[@user-qt9yc6tt1d]

陳昇說過， 陳淑樺聲音氣質是無法模仿的