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Advancements in AI TTS (2020s)
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== LLM Review == We first asked GPT to review our text and the prompt we used is: '''"Act as a reader who has no previous knowledge about AI-driven Text to Speech and provide feedback for this text."''' The response from GPT are as following: <blockquote>As a reader with no previous knowledge about AI-driven Text to Speech (TTS), I found this text to be highly informative and well-structured. It provides a comprehensive introduction to the evolution of TTS technology, starting from its historical roots in the 18th century to the groundbreaking innovations of the 2020s. # '''Clarity and Structure:''' The text is well-organized, with clear section headings, making it easy to follow the progression of TTS technology. The historical context section provides essential background information, and the subsequent sections delve into key innovations, impacts, and future research. # '''Historical Context:''' The historical context provided in the text is enlightening and helps create a foundation for understanding the evolution of TTS technology. It's fascinating to learn about the early attempts at mimicking human speech. # '''Key Innovations:''' The section on key innovations is particularly valuable for someone new to the topic. It breaks down the significant advancements in TTS, such as transfer learning, rule-based systems, concatenative TTS, prosody modeling, zero-shot learning, and voice cloning. This helps in understanding the diverse approaches within TTS technology. # '''Impacts:''' The text effectively highlights the practical applications of AI TTS across various domains, including business, education, and society. It's beneficial to know how this technology is being used in real-world scenarios, such as customer engagement, language preservation, and accessibility. # '''Privacy and Ethical Concerns:''' Addressing the concerns related to privacy and ethical considerations is crucial. It's good to see that the text acknowledges these issues, particularly the potential misuse of AI TTS in deepfake content. # '''Future Research:''' The section on future research provides a glimpse into the ongoing developments and potential directions in the field of TTS. It's forward-looking and showcases the evolving nature of the technology. </blockquote>While we appreciated the positive feedback, we believed that GPT's responses are excessively complimentary and somewhat generic. We then changed the prompt: '''"Please provide a critique of this popular science article from the perspective of an expert in the TTS (Text-to-Speech) field, highlighting the areas that require improvement."''' The response from GPT are as following:<blockquote>This popular science article provides a comprehensive overview of the evolution of Text-to-Speech (TTS) technology, including historical context, key innovations, impacts, and future research directions. However, from an expert perspective in the TTS field, there are some areas that could be improved: # '''In-Depth Technical Insights''': While the article covers a wide range of TTS topics, it lacks in-depth technical insights. As a TTS expert, I would be interested in more technical details about the various TTS techniques and models mentioned, such as neural TTS architectures, concatenative TTS improvements, and prosody modeling. Adding more technical depth would make the article more valuable to experts in the field. # '''Voice Cloning and Deepfakes''': Given the rise of voice cloning and deepfake technologies, it's crucial to address these topics in the article, discussing both the positive and potentially harmful applications of TTS in these areas. # '''Expand on Impact:''' While you've touched upon the impacts of AI TTS in various domains, you can provide more specific examples or case studies to illustrate how businesses, educational institutions, and other sectors have benefited from this technology. Real-world examples can make the impacts more tangible to readers. # '''Future Research Directions''': The section on future research directions is comprehensive but could be more focused. TTS experts would appreciate a more concise and prioritized list of the most pressing research areas and challenges in the field. # '''Visual Aids''': The inclusion of visuals like diagrams or charts to illustrate key concepts and the evolution of TTS techniques would enhance the article's clarity and appeal to a broader audience. # '''Transition Sentences:''' Use clear transition sentences to guide readers from one section to the next. This can make the text flow more smoothly and aid in comprehension. # '''Shorten Sentences and Paragraphs:''' Some sentences and paragraphs are quite long. Breaking them up or simplifying complex sentences can improve readability. </blockquote>This time, GPT gave more professional and targeted suggestions, but we thought that several of them maybe too professional and did not take into account the general audience that reads this wiki page, and GPT apprently ignored the keyword in the prompt "popular science article". So we have ignored suggestions #1, #3, and #5, and adopted suggestions #4, #7 and #8 that help to make the article more readable and comprehensible. We also ignored suggestion #6 because it's difficult to implement (editing pages can't directly insert images).
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