OpenAI’s Voice Cloning AI Model Requires Just a 15-Second Sample to Operate
April 8, 20243 min read 分钟阅读
Share
OpenAI is rolling out limited access to its text-to-voice generation platform called Voice Engine, as reported by The Verge. This innovative platform can synthesize a voice based on a 15-second audio clip, enabling the creation of realistic-sounding artificial voices. These AI-generated voices are capable of reading text prompts in multiple languages and have potential applications across various industries, according to OpenAI’s blog post.
Among the companies granted access to Voice Engine are Age of Learning, HeyGen, Dimagi, Livox, and Lifespan. OpenAI has showcased samples demonstrating how Age of Learning is utilizing the technology to produce pre-scripted voice-over content and deliver personalized responses to students generated by GPT-4.
Voice Engine development commenced in late 2022 and has since powered preset voices for text-to-speech APIs and ChatGPT’s Read Aloud feature. Jeff Harris from OpenAI’s Voice Engine product team revealed to TechCrunch that the model was trained on a combination of licensed and publicly available data. The platform will be limited to approximately 10 developers, according to OpenAI’s disclosure to the publication.
While AI text-to-audio generation continues to advance, voice generation has received less attention due to various concerns, as highlighted by OpenAI. However, companies like Podcastle and ElevenLabs are exploring AI voice cloning technologies, as previously explored on The Vergecast.
Simultaneously, the US government is taking measures to regulate unethical applications of AI voice technology. The Federal Communications Commission recently prohibited robocalls utilizing AI voices after instances of spam calls impersonating President Joe Biden’s voice.
OpenAI’s partners have committed to adhering to usage policies that prohibit impersonation without consent, requiring explicit and informed consent from original speakers, and disclosing AI-generated voices to listeners. To ensure accountability, OpenAI has implemented watermarking on audio clips and actively monitors their usage.
OpenAI suggests several measures to mitigate risks associated with such tools, including phasing out voice-based authentication for bank accounts, implementing policies safeguarding the use of individuals’ voices in AI, enhancing education on AI deepfakes, and developing AI content tracking systems.
“Web cache” refers to any technology that fronts an origin web server and temporarily stores frequently accessed content so that subsequent requests for the same content can be served efficiently. Be they centralized caching proxies deployed on-premises at an enterprise or content delivery networks (CDNs) with massively distributed caching edge servers, caches have become critical …
Discover key insights from Google Cloud Security’s “2025 Cybersecurity Forecast,” covering AI-driven attacks, geopolitical threats, and ransomware trends. Learn how to navigate the evolving cybersecurity landscape and stay prepared.
Introduction When most people hear “blockchain,” they think of cryptocurrencies like Bitcoin and Ethereum. However, blockchain technology has potential far beyond being just a ledger for cryptocurrencies. This article explores the diverse and innovative real-world applications of blockchain technology that are shaping various industries. Supply Chain Transparency Example: Food Safety and Traceability Blockchain technology is …
OpenAI’s Voice Cloning AI Model Requires Just a 15-Second Sample to Operate
OpenAI is rolling out limited access to its text-to-voice generation platform called Voice Engine, as reported by The Verge. This innovative platform can synthesize a voice based on a 15-second audio clip, enabling the creation of realistic-sounding artificial voices. These AI-generated voices are capable of reading text prompts in multiple languages and have potential applications across various industries, according to OpenAI’s blog post.
Among the companies granted access to Voice Engine are Age of Learning, HeyGen, Dimagi, Livox, and Lifespan. OpenAI has showcased samples demonstrating how Age of Learning is utilizing the technology to produce pre-scripted voice-over content and deliver personalized responses to students generated by GPT-4.
Voice Engine development commenced in late 2022 and has since powered preset voices for text-to-speech APIs and ChatGPT’s Read Aloud feature. Jeff Harris from OpenAI’s Voice Engine product team revealed to TechCrunch that the model was trained on a combination of licensed and publicly available data. The platform will be limited to approximately 10 developers, according to OpenAI’s disclosure to the publication.
While AI text-to-audio generation continues to advance, voice generation has received less attention due to various concerns, as highlighted by OpenAI. However, companies like Podcastle and ElevenLabs are exploring AI voice cloning technologies, as previously explored on The Vergecast.
Simultaneously, the US government is taking measures to regulate unethical applications of AI voice technology. The Federal Communications Commission recently prohibited robocalls utilizing AI voices after instances of spam calls impersonating President Joe Biden’s voice.
OpenAI’s partners have committed to adhering to usage policies that prohibit impersonation without consent, requiring explicit and informed consent from original speakers, and disclosing AI-generated voices to listeners. To ensure accountability, OpenAI has implemented watermarking on audio clips and actively monitors their usage.
OpenAI suggests several measures to mitigate risks associated with such tools, including phasing out voice-based authentication for bank accounts, implementing policies safeguarding the use of individuals’ voices in AI, enhancing education on AI deepfakes, and developing AI content tracking systems.
Related Posts
Deconstructing Web Cache Deception Attacks: They’re Bad; Now What?
“Web cache” refers to any technology that fronts an origin web server and temporarily stores frequently accessed content so that subsequent requests for the same content can be served efficiently. Be they centralized caching proxies deployed on-premises at an enterprise or content delivery networks (CDNs) with massively distributed caching edge servers, caches have become critical …
Cybersecurity Outlook: AI, Cryptocurrency, and Geopolitical Tensions Shape the Future of Digital Threats
Discover key insights from Google Cloud Security’s “2025 Cybersecurity Forecast,” covering AI-driven attacks, geopolitical threats, and ransomware trends. Learn how to navigate the evolving cybersecurity landscape and stay prepared.
Blockchain Beyond Cryptocurrencies: Real-World Applications
Introduction When most people hear “blockchain,” they think of cryptocurrencies like Bitcoin and Ethereum. However, blockchain technology has potential far beyond being just a ledger for cryptocurrencies. This article explores the diverse and innovative real-world applications of blockchain technology that are shaping various industries. Supply Chain Transparency Example: Food Safety and Traceability Blockchain technology is …