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AI À½¼º Ŭ·Ð ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® ¸®Æ÷Æ® : ÄÄÆ÷³ÍÆ®º°(¼ÒÇÁÆ®¿þ¾î, ¼ºñ½º), ±¸Ãະ(¿ÂÇÁ·¹¹Ì½º, Ŭ¶ó¿ìµå), ¿ëµµº°, »ê¾÷º°, Áö¿ªº°, ºÎ¹®º° µ¿Çâ(2023-2030³â)AI Voice Cloning Market Size, Share & Trends Analysis Report By Component (Software, Service), By Deployment (On-premises, Cloud), By Application (Gaming, Advertising), By Vertical, By Region, And Segment Forecasts, 2023 - 2030 |
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The global AI voice cloning market size is expected to reach USD 9.75 billion by 2030, growing at a CAGR of 26.1% from 2023 to 2030, according to a new report by Grand View Research, Inc. Advancements in AI technology drive the market, the need for personalized user experiences, and enhanced customer service. The market trends include deep learning and neural networks, NLP advancements, ethical considerations and regulation, and integration with AR & VR. As the market continues to evolve, it holds immense potential for transforming various industries and creating new opportunities for personalized, interactive experiences.The potential misuse of AI clones is a significant ethical concern. AI voice clones can be used for malicious purposes, such as impersonation, fraud, or misinformation. It highlights the importance of responsible use and ensuring appropriate safeguards to prevent misuse.
It is becoming increasingly common for ethical guidelines and regulations to be developed to provide a framework for the ethical and responsible implementation of AI cloning practices. They are intended to guide AI cloning companies, developers, and users in adopting ethical practices and mitigating potential risks. In addition, research is ongoing to address these concerns and establish standards for the responsible development and usage of AI cloning technologies. For instance, in July 2022, published research by Ali Javed from the Department of Computer Science and Engineering, Oakland University, Rochester, and the team mentioned the development of robust detectors that could detect voice replay or cloned voice attacks in Automated Speaker Verification (ASV). The existing binary-class-based detectors are still being prepared to fully combat the emerging threat of multiple attacks on ASV systems.
With the widespread implementation of remote work and virtual communication during the COVID-19 pandemic, there has been a surge in demand for AI voice cloning technologies. These technologies enable the creation of virtual assistants, chatbots, and voice-based communication tools that facilitate remote interactions and enhance customer service. The need for efficient and engaging virtual communication solutions has accelerated the adoption of AI voice cloning technologies. During the pandemic, there has been a significant increase in digital content consumption, including podcasts, audiobooks, and online videos. AI voice cloning is crucial in generating high-quality and personalized voice content at scale. It has driven the demand for AI voice cloning solutions as businesses and content creators seek to provide engaging and captivating audio experiences to their audiences.