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🚀 Launching today: our Speech QA Dashboard! Mispronunciations in TTS aren’t just annoying, they’re costly. With our Speech QA tools, teams can: + Monitor their TTS output in real-time + Proactively test and update pronunciation for new customers + Approve or request fixes in one click Ensure your LLM's...

1,009,288 просмотров • 11 месяцев назад •via X (Twitter)

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VoxCPM 2 just dropped by OpenBMB Only 2B-param open-source TTS (Text-to-Speech) model built for production-grade multilingual voice work. Apache-2.0 license, Can run on only 8GB VRAM. • Eliminates the "robotic" feel of traditional TTS, delivering prosody and emotional depth suitable for high-stakes professional environments like filmmaking, gaming, animation, and audiobooks. • 30-language multilingual: no language tag needed, just type in a supported language and generate directly. • Voice design: create a brand-new voice from a text description alone, like age, tone, pace, or emotion. No reference audio required. Describe the desired voice characteristics (gender, age, tone, emotion, pace …) in Control Instruction, and VoxCPM2 will craft a unique voice from your description alone. • Controllable cloning: clone from a short clip, then steer delivery style without losing the speaker’s core voice. • Ultimate cloning: use reference audio + transcript for continuation-style cloning that keeps the tiny vocal details. • 48kHz output: takes 16kHz reference audio and produces studio-quality speech without an external upsampler. • Real-time ready: around 0.3 RTF on RTX 4090, even lower with Nano-VLLM. • Commercial use: Apache-2.0 licensed. Developer-Friendly Infrastructure: - Native Torch Inference: Direct support for PyTorch-based workflows. - Training Flexibility: Supports both full-parameter and LoRA fine-tuning for specific domain adaptation. - Production Readiness: Compatible with voxcpm-nanovllm for large-scale, high-concurrency deployment.

Rohan Paul

13,541 просмотров • 4 месяцев назад

🚨STREET SIGN JIHAD: RISE UP AMERICA! Politicians Are Surrendering Our Communities to Islam One Road at a Time In Bridgeview, Illinois, they just officially renamed a major stretch of Harlem Avenue "Little Palestine Way." This wasn’t random. It’s part of a growing national pattern. ⚠️Across the country we’re seeing the same thing: 🔺In Dearborn, Michigan: a street named for a Hezbollah sympathizer. 🔺In Texas: entire neighborhoods named after jihadist warlords. 🔺In New York: streets honoring the founder of Pakistan - a nation built on Sharia law and partition terror. History tells us exactly what comes next. From Iran’s Islamic Revolution to Mao’s Cultural Revolution, the erasure always begins with symbols - changing street names, tearing down monuments, rewriting history and ends with people. Street names matter. They are not trivial. Unless Americans demand their elected leaders fight back, we are watching our culture, our history, and our future be erased one street sign at a time. 🚨But there is a solution. In Josephine, Texas, one courageous city council member passed the first model street-naming resolution in America. It prevents foreign ideologies from being honored on our streets and ensures civic space is reserved for American heritage. RAIR is now making that model resolution available nationwide. Any citizen can print it out, take it to their city council, and demand action. It’s a legal, practical tool to stop this before more of our culture is stripped away - one sign at a time. They are not just changing street names. They are changing the country. It’s time to stop the surrender. TAKE ACTION AT YOUR CITY COUNCIL - SEE HERE:

Amy Mek

37,105 просмотров • 1 месяц назад

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

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