Core Viewpoint - The National Radio and Television Administration will implement a one-month special governance initiative starting January 1, 2026, to address the chaotic spread of "AI-modified" videos, focusing on content based on classic literature, historical themes, revolutionary themes, and heroic figures [3]. Group 1: AI Modification Controversy - AI modification, or "AI magic modification," refers to the use of artificial intelligence to radically alter original works, often seen in short videos and visual creations [3]. - Some AI-modified videos have gained significant popularity on short video platforms, with likes reaching tens of thousands, and accounts amassing over 100,000 followers in just half a month [3][5]. - The low technical barrier and high profitability of AI content generation have led many creators to exploit these tools for quick gains, often promoting AI services and monetizing through advertisements and knowledge sharing [4][6]. Group 2: Cultural Impact and Concerns - There is a divide in public opinion regarding AI-modified videos; while some view them as creative expressions, others argue they undermine the integrity and artistic value of original works [5]. - Concerns have been raised about the potential distortion of cultural memory and values, especially for younger audiences who may be influenced by these altered narratives [5][7]. - Legal precedents, such as the "Ultraman AI generation infringement case," highlight the risks of AI modifications distorting historical memory and cultural heritage [5]. Group 3: Governance and Regulation - The National Radio and Television Administration has previously urged short video platforms to monitor and regulate AI-modified content, emphasizing the need for strict entry and oversight of related technologies [8]. - Platforms like Douyin have issued guidelines to discourage low-quality AI-generated content and ensure transparency by labeling AI-generated videos [9]. - Experts suggest that a collaborative approach involving technology companies, legal regulators, and ethical committees is necessary to establish comprehensive governance standards for AI applications [9][10].

Core Viewpoint - The article discusses the limitations of AI voice dubbing, particularly its lack of emotional depth, and introduces a new framework called Authentic-Dubber that incorporates director-actor interaction to enhance emotional expression in AI-generated voiceovers [2][3][19]. Group 1: AI Dubbing Limitations - AI voice dubbing often lacks the "human touch," as it skips the crucial director-actor interaction that brings emotional depth to performances [2][3]. - The current AI models simplify the dubbing process by having AI "actors" read scripts without the guidance of a director, resulting in a lack of emotional resonance [2][3]. Group 2: Authentic-Dubber Framework - The Authentic-Dubber framework, developed by a team led by Professor Liu Rui, introduces a director role into AI dubbing, simulating the emotional transmission mechanisms found in traditional dubbing processes [4]. - This system aims to teach AI to "understand first, then express," moving beyond mere imitation of sounds to a more nuanced emotional delivery [4]. Group 3: Mechanisms of Authentic-Dubber - The framework includes a multi-modal reference material library that serves as an emotional guide for AI, integrating various emotional cues such as scene atmosphere and facial expressions [7]. - A retrieval-augmented strategy allows the AI to quickly access emotionally relevant reference clips, mimicking how actors internalize emotional cues under a director's guidance [11]. - The system employs a progressive graph-structured speech generation method to ensure that the final output is rich in emotional layers, enhancing the overall quality of the dubbing [13]. Group 4: Experimental Validation - In tests on the V2C-Animation dataset, Authentic-Dubber significantly outperformed all mainstream baseline models in emotional accuracy (EMO-ACC) [14]. - Subjective evaluations by human listeners showed that Authentic-Dubber achieved the highest scores in emotional matching (MOS-DE) and emotional authenticity (MOS-SE) [15]. - The system demonstrated quantifiable advantages in emotional expression, as evidenced by spectral analysis showing distinct acoustic features for different emotions [16]. Group 5: Significance of the Research - The research elevates the competitive dimension of AI dubbing from mere synchronization to emotional resonance, indicating a deeper understanding of complex emotions by AI [19]. - By simulating key interactions in human collaboration, the framework represents a significant step towards creating AI voiceovers that can truly "inject soul" into characters [19].

Core Viewpoint - The rise of AI-modified videos, particularly in the context of classic films and TV shows, raises questions about copyright infringement and the preservation of original cultural narratives [3][10]. Group 1: AI Modification in Media - AI technology allows creators to modify classic film dialogues, resulting in characters speaking in ways that diverge from their original portrayals, such as speaking fluent English or discussing modern concepts [1][3]. - The production of AI-modified videos has a low barrier to entry, enabling widespread participation among creators, which has led to a significant increase in such content across various short video platforms [6][10]. Group 2: Legal and Ethical Considerations - The National Radio and Television Administration has issued warnings regarding AI-modified content, stating that it undermines traditional cultural values and may constitute copyright infringement [3][15]. - The first case of "AI voice infringement" in China concluded with a ruling that recognized the rights of voice actors, highlighting the legal complexities surrounding the use of AI in media [11][14]. - Legal experts emphasize that whether the use of modified audio is lawful depends on the specific context and purpose of the content, with a distinction made between fair use and infringement [15][16].

Core Viewpoint - The Shanxi Consumer Association has issued a warning about new types of scams utilizing "AI face-swapping" and "AI voice synthesis" technologies, collectively referred to as "deep forgery," which pose significant threats to consumer financial security and personal privacy as AI technology becomes more prevalent by 2025 [1]. Group 1: Scam Methods - Scammers collect clear facial videos and voice clips of consumers or their acquaintances from social media platforms like Douyin, WeChat, and Weibo for AI model training [1]. - They create realistic fake videos or audio using deep forgery technology and design urgent scenarios, such as claiming an accident or detention, to lower the victim's guard [1]. - Scammers then contact victims through video calls or send forged audio and video clips, requesting money transfers to specified accounts [1]. Group 2: Consumer Protection Measures - The Shanxi Consumer Association emphasizes the importance of establishing a "multi-verification" awareness and not solely relying on what is seen or heard [2]. - Consumers are advised to adhere to the "three no's and two musts" prevention principles: do not trust, do not transfer money, and do not disclose personal information [2]. - It is crucial to verify any money transfer requests made through non-face-to-face methods, even if they appear to come from familiar voices or faces, and to be cautious of urgent situations that hinder verification [2]. Group 3: Verification and Reporting - Consumers should verify requests for money from "friends or family" by hanging up and calling back using stored contact information or confirming through mutual acquaintances [3]. - Observing for subtle signs of AI-generated content, such as unnatural facial expressions or audio discrepancies, can help identify scams [3]. - In case of suspected fraud, consumers are urged to report to the police immediately and provide evidence such as account details, contact information, chat records, and transfer receipts [3].

Core Viewpoint - The article discusses the rapid rise of AI voiceover technology, highlighting its impact on the traditional voice acting industry, where professionals are forced to redefine their value as AI becomes more prevalent and cost-effective [6][11][24]. Industry Impact - Over the past two years, AI voiceover technology has rapidly penetrated various sectors, including advertising, gaming, and audiobooks, due to its speed, compliance, and lower costs [6][11]. - By 2024, the AI voice semantic market in China is projected to reach 14.93 billion yuan, with a compound annual growth rate exceeding 28% [11]. - Major voice synthesis platforms now offer thousands of voice types, covering various dialects and styles, indicating a significant shift in the market dynamics [11]. Professional Concerns - Traditional voice actors are experiencing a decline in job opportunities, with many clients opting for AI-generated voices over human talent, leading to fears of job displacement [9][10][12]. - The pricing structure for voiceover work has collapsed, with rates for high-quality voice actors dropping from 600-800 yuan per hour to as low as 50 yuan per hour for some projects [14]. - Instances of voice cloning have emerged, where AI replicates the voices of actors without their consent, raising concerns about intellectual property and rights within the industry [15][19]. Adaptation Strategies - Some voice actors are adapting by leveraging AI as a tool to enhance their work, combining AI-generated content with human emotion and creativity to maintain relevance in the industry [24][25]. - The article emphasizes that the future of the voice acting industry will belong to those who can infuse their performances with human warmth and experience, suggesting a coexistence between AI and human talent [25].

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].