机器之心报道 机器之心编辑部 你是否也觉得，AI 配音的语调总是差了那么点 "人情味"？它能把台词念得字正腔圆，口型分秒不差，但角色的喜怒哀乐却总是难以触及灵魂深处。 创新之道：三步还原真实配音 "心流" 问题出在哪里？答案或许藏在配音棚里那些看不见的导演与演员的互动中。在真实的电影工业里，配音绝非演员的独角戏。导演会提供参考片段、解读角色情 绪，引导演员 "入戏"—— 这个过程，正是将文字转化为有生命声音的核心。然而，现有 AI 配音模型却模拟了一个 "简化版" 流程，让 AI "演员" 直接对着脚本和 画面硬说，完全跳过了这个至关重要的 "导戏" 与 "揣摩" 环节。 这缺失的一环，正是 AI 配音缺乏情感表现力的症结所在。 内蒙古大学计算机学院、 人工智 能学院刘瑞教授牵头的语音理解与生成团队 在 AAAI 2026 上发表的论文《Towards Authentic Movie Dubbing with Retrieve- Augmented Director-Actor Interaction Learning》正式回应了这一问题。研究团队提出了一种 全新的检索增强导演 - 演员交互学习框架 ——Au ...

不知道大家有没有刷到过这样的视频？明明是经典影视剧的名场面，却被一些创作者把台词通过AI技术"魔改"：舌战群儒的诸葛亮飙起了流利的英 文，一心向佛的唐僧大谈如何反内耗等。视频中，人物口型严丝合缝，精准对齐，看不出一点"违和感"。 △经典影视剧《三国演义》人物角色的声音被AI"魔改" 此前，广电总局网络视听司就曾发布《管理提示（AI魔改）》，认为一些AI"魔改"视频为博流量，毫无边界亵渎经典IP，冲击传统文化认知，与原 著精神内核相悖，且涉嫌构成侵权行为。 即便有相关规定的约束，通过修改台词进行所谓"二创"的影视作品仍然具有一定规模，并在各大短视频平台拥有着可观的流量。这些融入独创性表 达的"二创"行为是否侵权？它的法律边界在哪里？ AI"魔改"视频制作门槛低 "只要给我30秒没有处理过的声音，我能立刻让指定的人开口说话。"中国之声记者在多个短视频平台输入"AI配音、魔改"等关键词，算法会立即推 送一连串反差强烈的画面。 < AI配音 魔改 8 搜索 综合 视频 用户 图文 商品 直播 [] ▽ l 经书 让经书飞 #不一样的西游记 #魔 新人必看的影视二创修改台词 改剪辑 #ai 创作浪潮计划 教程,助你流量 ...

典型诈骗场景主要包括：合成子女、父母或好友的影像，在视频通话中以"急需用钱"为由要求转账；针 对企业财务人员或员工，冒充公司领导通过视频会议下达紧急支付指令；甚至伪造执法人员视频，以涉 嫌违法为由要求消费者将资金转移至所谓"安全账户"进行核查。 面对这类利用生物特征进行欺骗的新型犯罪，山西省消协提示消费者，关键在于建立"多重验证"意识， 不可单纯信赖眼见耳闻之象，并应谨记"三不二要"防范原则。 "三不"即不轻信、不转账、不泄露。对于任何通过非见面方式提出的转账汇款要求，即便看到真人视频 或听到熟悉声音，也应高度警惕，尤其要提防对方制造紧急氛围阻碍核实。在未通过其他可靠途径百分 之百确认对方身份前，坚决不进行任何转账操作。同时，需注重个人信息保护，审慎在社交媒体分享清 晰的正面视频、语音，避免敏感信息过度公开。 "二要"即要核实、要警惕。若遇"亲友"通过视频借钱，务必挂断后使用自行存储的联系方式回拨核实， 或通过共同亲友交叉确认；可与家人、挚友预先约定资金往来暗语。此外，需保持观察，AI合成内容 可能存在人物表情僵硬、眨眼不自然、口型对不上、声音有电子音或断句不合理等细微破绽。消费者需 牢记，公检法等机关绝不会 ...

来源丨AI故事计划（ID：AIstory1） 作者丨 江畔 图源丨Midjourney 以下文章来源于AI故事计划 ，作者江畔 AI故事计划 . 人在AI时代的命运。这个编辑部致力于记录AI时代的真实故事。 过去两年间，从广告到游戏、从有声书到短剧，AI配音正以惊人的速度席卷着整个行业。 它更快、更听话，也成本更低廉。 那些原本靠"声音吃饭"的人，不得不在AI浪潮中重新定义自己的价值。 客户几乎没了 样片交付只剩最后几天，纪录片导演Helen却被配音卡住了。 今年3月，她为一位教育戏剧界的前辈制作一部传记片。项目收尾阶段，她需要把45分钟的片子压成 五分钟的精华。 片里的老人已八十多岁，每一帧都浸着几十年舞台经验，每句旁白都必须凝练、稳当，才能撑住他的 一生。 Helen找了几家配音公司，但收到的样音总让她沮丧。要么声音太年轻，缺少岁月的层次；要么情绪 太满，破坏了老人的沉静气质。 "好的配音应该融进画面，他们给的却像两张皮。"她反复听样音，越想越焦灼。 眼看交期逼近，剪辑师提醒她："要不要试试AI？" 出乎意料，AI生成的效果令Helen大为惊艳，停顿、重音、情绪起伏都恰到好处，甚至比先前的人工 录制更贴近 ...

Core Insights - The article discusses the changing dynamics between voice actors (CVs), players, and game developers in the gaming industry, particularly in the context of character voice changes and player expectations [1][2][3] Group 1: Voice Actor Changes - The recent departure of CV Wu Lei from the game "Love and Producer" has been met with mixed reactions, with some players celebrating the change while others express dissatisfaction with current CV performances [1][2] - The industry has seen a trend of CV replacements due to various issues, including personal controversies and declining performance, leading to a more cautious approach from developers when selecting voice actors [2][7][11] - Players are increasingly vocal about their expectations for CV performances, leading to significant backlash against CVs who do not meet these standards, as seen in the cases of Zhao Yang and Wu Lei [11][15][17] Group 2: Industry Dynamics - The relationship between CVs, players, and developers has shifted from a mutually beneficial arrangement to a more adversarial one, where each party holds the other accountable for quality and performance [18][20] - Developers are now more inclined to keep CV identities hidden to mitigate backlash and player dissatisfaction, reflecting a broader trend in the industry [26][28] - The introduction of AI technology in voice acting is becoming a consideration for developers, as it offers a potential solution to the challenges posed by human voice actors, although concerns about authenticity and emotional connection remain [30][32][34] Group 3: Market Trends - The gaming market is witnessing a decline in the willingness to invest in high-profile CVs, as seen in the case of "Shining Nikki," where a CV was replaced without prior notice, leading to player protests [22][24] - The pricing structure for CVs remains relatively stable, with rates ranging from 100 to 500 per line, but the overall market dynamics are shifting as developers seek cost-effective solutions [24] - The industry's future may hinge on how well it adapts to these changes, particularly in balancing player expectations with the realities of voice acting performance and the potential integration of AI [34]

Core Viewpoint - The article discusses the evolving relationship between voice actors (CVs), players, and game developers in the gaming industry, highlighting recent controversies surrounding voice actor changes and the impact on player satisfaction and brand reputation [1][4][27]. Group 1: Voice Actor Changes - The recent departure of CV Wu Lei from the game "Love and Producer" has been met with mixed reactions, with some players celebrating the change while others express dissatisfaction with current CV performances [1][2][21]. - The industry has seen multiple instances of CV changes due to various reasons, including personal issues affecting performance, leading to a shift in how players perceive and react to these changes [5][20][29]. - The relationship between CVs and game developers has become more complex, with developers now more cautious about publicizing CV identities due to potential backlash from players [41][55]. Group 2: Player Expectations and Reactions - Players have become increasingly critical of CV performances, demanding higher standards and expressing dissatisfaction when they feel a CV does not match the character's persona [20][24][48]. - The emotional connection players have with characters is significant, making it challenging for new CVs to replace established ones without losing the original character's essence [48][49]. - Players' reactions to CV changes can lead to significant backlash against both the CVs and the game developers, as seen in the cases of "Overwatch" and "Honor of Kings" [15][17][43]. Group 3: Industry Trends and Future Directions - The rise of AI technology in voice acting is becoming a consideration for game developers, with discussions around its potential to replace human CVs in the future [55]. - Developers are exploring new methods to manage CV relationships, including keeping CV identities confidential and utilizing AI to mitigate risks associated with human performance variability [41][55]. - The industry is at a crossroads, where the traditional model of CVs being integral to character identity is being challenged by technological advancements and changing player expectations [54][56].

Core Viewpoint - The article discusses the advancements in AI voice synthesis technology, specifically focusing on the new TTS model IndexTTS2 developed by Bilibili, which allows for precise control over speech duration and emotional expression in generated audio [6][11][33]. Group 1: Technology Features - IndexTTS2 can replicate the original tone and emotion while ensuring lip-sync accuracy [3][11]. - The model supports two generation methods: one with explicit token count for precise duration control and another that automatically generates speech while preserving rhythmic features [12][16]. - It allows independent control of audio and emotional expression, enabling different audio prompts to serve as references for tone and emotion [19][20]. Group 2: Performance Evaluation - IndexTTS2 achieved state-of-the-art (SOTA) results in various tests, with a word error rate (WER) of only 1.883% and emotional performance metrics also reaching SOTA levels [22][24]. - In the AIShell-1 test, IndexTTS2 was only 0.004 behind the ground truth in SS and 0.038% better than the previous version [23]. - The model's accuracy in duration control showed token count errors below 0.02% [25]. Group 3: Model Architecture - IndexTTS2 consists of three core modules: Text-to-Semantic (T2S), Semantic-to-Speech (S2M), and a vocoder [38]. - The model introduces innovations in duration and emotional control, utilizing a conditioning mechanism to extract emotional features from style prompts [40][41]. - The S2M module enhances speech stability by integrating GPT latent representations, addressing issues of clarity in emotional speech synthesis [44][46]. Group 4: Industry Implications - Bilibili is reportedly accelerating its video podcast strategy, which may integrate the capabilities of IndexTTS2 [47][49]. - The development of IndexTTS2 could be part of a broader initiative referred to as "Project H," aimed at enhancing AI-driven content creation [50].