voice cloning
voice cloning at Beyond Market Intelligence is a file of 9 stories. The newest of them: “Explore how 90 languages and voice cloning now fit in a 10-second clip”, “25 million in funding sharpens Modulate's focus on detecting deepfake scams”, and “Transparency in AI Voice: ElevenLabs CEO on Disclosure and the Future”. Voice cloning used to require hours of studio time. Modulate has sharpened its focus on detecting deepfake scams with a fresh $25 million in funding, deploying models that target fraud directly. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every voice cloning story on Beyond Market Intelligence, newest first.
Explore how 90 languages and voice cloning now fit in a 10-second clip
Voice cloning used to require hours of studio time. ElevenLabs v4 now pulls it off from a ten-second clip, while supporting 90 languages. That is a meaningful drop in the barrier to entry. If you are wondering where synthetic media detection fits into this picture, our coverage of Modulate's recent funding round offers a clear look at the other side of the coin. This is a tool that rewards exploration, not hype.
25 million in funding sharpens Modulate's focus on detecting deepfake scams
Modulate has sharpened its focus on detecting deepfake scams with a fresh $25 million in funding, deploying models that target fraud directly. This isn't abstract theory, it's a response to real threats that already victimize real people. We've covered how one founder's personal story drove her to launch DetectifAI after a grandfather was scammed by a deepfake voice. Modulate's approach feels like the next logical step: putting AI to work guarding against the very dangers AI can create.
Transparency in AI Voice: ElevenLabs CEO on Disclosure and the Future
ElevenLabs CEO is making a straightforward call: businesses should tell you when that helpful voice on the line is an AI. It's a practical stance, grounded in the idea that disclosure matters until machine voices become the expected norm. We think that's the right instinct. Transparency isn't just ethical; it's how you build trust with people who are already navigating enough complexity. For more on how AI systems are being deployed in the real world, check out our piece on real-world computer vision.
Treble secures $18 million to advance voice simulation for AI systems
Treble, the Iceland-based voice simulation platform, just closed an $18 million round, and it's a clear signal that the demand for realistic synthetic voices is accelerating. AI wearable and robotics developers are turning to Treble to refine how their products sound and respond, which feels like a smart bet on user trust. Voice is becoming a primary interface, and getting it right matters. For more on how these systems are built and challenged, explore our related piece on real-world computer vision deployments.
Discover how open-weight TTS brings expressive narration to your local machine.
TontaubeV1 takes a character-level approach to text-to-speech, and that decision is worth pausing on. Most modern TTS models lean on the backbone tokenizer, but the team behind this release found that forcing character-by-character tokenization kept the model more stable and made the mapping from text to sound more direct. It is a thoughtful response to a real problem, especially for long-form narration where rare token combinations can trip up generation. The chunking and position scheme is just as deliberate.
Navigate voice AI scams with practical steps to protect your family.
Voice cloning used to feel like a distant threat, but the reality is that a few seconds of your child's voice could be all a scammer needs to fake an emergency call. That's not paranoia; it's the new playbook. Protecting your family starts with a simple habit: verify before you trust. Hang up and call back on a known number.
Explore voice AI that sounds genuinely human in real-time conversations.
Smallest.ai's $13M raise signals something practical: voice AI is closing in on the human ear. The startup is building models designed to make AI phone calls pass the Turing test, a bar that's more about natural hesitation and timing than raw vocabulary. That ambition is worth watching, especially as we question what feels real in our own AI interactions. If you're curious how close we are, our piece on talking to an AI clone offers a grounded counterpoint.
Fish Audio secures $52M to expand AI voice models for millions of users
Eight million users in under a year, with $21 million in recurring revenue, tells a clear story: Fish Audio is building something people actually want. The $52M seed round backs a pragmatic bet that open-source and hosted AI voice models can serve both creators and enterprises without the usual friction. That traction is earned, not hype. For anyone tired of clunky voice pipelines, this is a signal worth exploring.
Your Voice, Your Hardware: Experience Full Local AI Voice Studio
Every piece of your voice workflow, from cloning to real-time dictation, runs entirely on your own hardware. OmniVoice Studio removes the barriers that typically come with AI tools: no API keys, no usage counters, and no cloud dependency. It is a straightforward, private approach to voice technology that puts control back in your hands. For a broader look at how voice AI is evolving, our coverage of Tilly Norwood's press tour offers a glimpse into the format's growing pains.