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Introducing Universal-1: Our most powerful and accurate Speech AI model yet. ✅ Trained on 12.5M hours of multilingual speech data ✅ 13.5% more accurate than models like Whisper ✅ Up to 30% fewer hallucinations than seq2seq models ✅ Just 38 seconds to process 1 hour of audio

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AssemblyAI

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23,511,299 просмотров • 2 лет назад •via X (Twitter)

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Фото профиля khilendra gavel
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#Allah_Is_Kabir Baakhabar Sant Rampal Ji

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#Allah_Is_Kabir Baakhabar Sant Rampal Ji

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Yeh hai power of munawar MUNAWAR CULT JANTA

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#अयोध्यासे_जानेकेबाद_हनुमानको मिले पूर्ण परमात्मा

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MAAN SINGH YADAV2 лет назад

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This is the best and fastest speech-to-text model in the world: • 23.2 seconds to process 30 minutes of audio • 93.3% accuracy • Diarization support to detect multiple speakers • Trained on 12.5 million hours of multilingual data I tried it out and it's pretty impressive:
3:20

This is the best and fastest speech-to-text model in the world: • 23.2 seconds to process 30 minutes of audio • 93.3% accuracy • Diarization support to detect multiple speakers • Trained on 12.5 million hours of multilingual data I tried it out and it's pretty impressive:

Santiago

66,420 просмотров • 11 месяцев назад

Introducing Tongyi Fun – Alibaba’s enterprise-grade audio foundation model. Powered by Fun-ASR and Fun-CosyVoice it advances voice AI beyond “hearing and speaking” to truly understand context, transcribe with high accuracy, and speak with natural expressiveness—even in complex enterprise environments. ✅ Understands deeply: Trained on tens of millions of hours of real-world audio, with industry-specific terminology across finance, tech, manufacturing, and more. ✅ Transcribes accurately: A context-enhanced architecture with RAG minimizes errors, hallucinations, and cross-language interference. ✅ Speaks expressively: Delivers natural, stable, multilingual speech synthesis with cross-lingual voice cloning.
0:48

Introducing Tongyi Fun – Alibaba’s enterprise-grade audio foundation model. Powered by Fun-ASR and Fun-CosyVoice it advances voice AI beyond “hearing and speaking” to truly understand context, transcribe with high accuracy, and speak with natural expressiveness—even in complex enterprise environments. ✅ Understands deeply: Trained on tens of millions of hours of real-world audio, with industry-specific terminology across finance, tech, manufacturing, and more. ✅ Transcribes accurately: A context-enhanced architecture with RAG minimizes errors, hallucinations, and cross-language interference. ✅ Speaks expressively: Delivers natural, stable, multilingual speech synthesis with cross-lingual voice cloning.

Tongyi Lab

280,542 просмотров • 10 месяцев назад

Introducing Scribe — the most accurate Speech to Text model. It has the highest accuracy on benchmarks, outperforming previous state-of-the-art models such as Gemini 2.0 and OpenAI Whisper v3. It’s now the leading model for English, Spanish, Italian, and many more. With support for 99 languages, speaker diarization, character-level timestamps, and non-speech events such as laughing.
0:57

Introducing Scribe — the most accurate Speech to Text model. It has the highest accuracy on benchmarks, outperforming previous state-of-the-art models such as Gemini 2.0 and OpenAI Whisper v3. It’s now the leading model for English, Spanish, Italian, and many more. With support for 99 languages, speaker diarization, character-level timestamps, and non-speech events such as laughing.

ElevenLabs

464,743 просмотров • 1 год назад

Today, we’re introducing new tools and model updates to help you build, deploy, and scale Voice AI applications.🎙️ 🆕 Speech Understanding: Turn transcripts into actionable data with speaker identification, custom formatting & translation 🆕 LLM Gateway: One API for your voice-to-intelligence pipeline, with GPT, Claude, Gemini & more 🆕 Voice AI Guardrails: End-to-end protection for safe, compliant content Model Upgrades: ✅ 99 languages with auto code-switching ✅ 64% fewer speaker counting errors ✅ 57% better accuracy on critical terms with 1,000-word context Real results: 🔥 Calabrio: 80% boost in customer satisfaction, 22% revenue increase 🔥 Siro: "10/10 customers say 'wow, that insight was crisp'" Build & scale Voice AI in minutes! Try it in our Playground or check the docs. 🚀
0:58

Today, we’re introducing new tools and model updates to help you build, deploy, and scale Voice AI applications.🎙️ 🆕 Speech Understanding: Turn transcripts into actionable data with speaker identification, custom formatting & translation 🆕 LLM Gateway: One API for your voice-to-intelligence pipeline, with GPT, Claude, Gemini & more 🆕 Voice AI Guardrails: End-to-end protection for safe, compliant content Model Upgrades: ✅ 99 languages with auto code-switching ✅ 64% fewer speaker counting errors ✅ 57% better accuracy on critical terms with 1,000-word context Real results: 🔥 Calabrio: 80% boost in customer satisfaction, 22% revenue increase 🔥 Siro: "10/10 customers say 'wow, that insight was crisp'" Build & scale Voice AI in minutes! Try it in our Playground or check the docs. 🚀

AssemblyAI

18,150 просмотров • 9 месяцев назад

Wow! New Speech to Speech model - Fish Agent v0.1 3B by Fish Audio 🔥 > Trained on 700K hours of multilingual audio > Continue-pretrained version of Qwen-2.5-3B-Instruct for 200B audio & text tokens > Zero-shot voice cloning > Text + audio input/ Audio output > Ultra-fast inference w/ 200ms TTFA > Models on the Hub & Finetuning code on its way! 🚀 What an amazing time to be alive 🤗
1:08

Wow! New Speech to Speech model - Fish Agent v0.1 3B by Fish Audio 🔥 > Trained on 700K hours of multilingual audio > Continue-pretrained version of Qwen-2.5-3B-Instruct for 200B audio & text tokens > Zero-shot voice cloning > Text + audio input/ Audio output > Ultra-fast inference w/ 200ms TTFA > Models on the Hub & Finetuning code on its way! 🚀 What an amazing time to be alive 🤗

Vaibhav (VB) Srivastav

66,979 просмотров • 1 год назад

I gave AI my voice and face. Now it works harder than I ever could 🤖 THE CLONING PROCESS: ✅ Record 10 minutes of clear speech ✅ Upload to 11 Labs for voice training ✅ Take 5-10 photos for HeyGen avatar ✅ AI learns your speech patterns and expressions ✅ Generate unlimited content in your style It's like having 100 versions of yourself creating content simultaneously. Save/bookmark this technique, it will multiply your presence across all platforms 👥 Want the SOP? DM me.
11:17

I gave AI my voice and face. Now it works harder than I ever could 🤖 THE CLONING PROCESS: ✅ Record 10 minutes of clear speech ✅ Upload to 11 Labs for voice training ✅ Take 5-10 photos for HeyGen avatar ✅ AI learns your speech patterns and expressions ✅ Generate unlimited content in your style It's like having 100 versions of yourself creating content simultaneously. Save/bookmark this technique, it will multiply your presence across all platforms 👥 Want the SOP? DM me.

Julian Goldie SEO

14,029 просмотров • 1 год назад

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)
4:07

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)

Prince Canuma

123,544 просмотров • 1 год назад

Universal-Streaming is our real-time speech-to-text model — built for voice agents with ~300ms latency, high accuracy, unlimited concurrency, and just $0.15/hour. 👉 Test it live in the playground →
1:03

Universal-Streaming is our real-time speech-to-text model — built for voice agents with ~300ms latency, high accuracy, unlimited concurrency, and just $0.15/hour. 👉 Test it live in the playground →

AssemblyAI

1,017,880 просмотров • 1 год назад

Wuchang: Fallen Feathers 🚀 ✅Souls-like Action/RPG ✅Beautiful heroine ✅Set in China ✅Final years of Ming Dynasty ✅Connected maps ✅Fluid combat ✅More Action than stat-driven ✅Focus on Level design, combat & story ✅Diablo-like skills ✅Specialize in a style ✅Build variety ✅5 weapon categories ✅25 unique weapons ✅40 different spells ✅Doge/parry bring resources ✅5 main levels ✅Each can take up to 10 hours ✅~60 hours to finish the game ✅Launching on PlayStation, Xbox and PC ✅Coming Summer 2025 ✅Inspired by Monster Hunter, Bloodborne, Ninja Gaiden and Sekiro Play or pass?😎 WUCHANG: Fallen Feathers
1:33

Wuchang: Fallen Feathers 🚀 ✅Souls-like Action/RPG ✅Beautiful heroine ✅Set in China ✅Final years of Ming Dynasty ✅Connected maps ✅Fluid combat ✅More Action than stat-driven ✅Focus on Level design, combat & story ✅Diablo-like skills ✅Specialize in a style ✅Build variety ✅5 weapon categories ✅25 unique weapons ✅40 different spells ✅Doge/parry bring resources ✅5 main levels ✅Each can take up to 10 hours ✅~60 hours to finish the game ✅Launching on PlayStation, Xbox and PC ✅Coming Summer 2025 ✅Inspired by Monster Hunter, Bloodborne, Ninja Gaiden and Sekiro Play or pass?😎 WUCHANG: Fallen Feathers

Rino🚀

43,075 просмотров • 1 год назад

1/n We are excited to announce EchoPrime – the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation! Great work lead by Milos Vukadinovic, EchoPrime is the largest and most complex #echofirst AI model yet, trained on 10x the data of existing models.
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1/n We are excited to announce EchoPrime – the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation! Great work lead by Milos Vukadinovic, EchoPrime is the largest and most complex #echofirst AI model yet, trained on 10x the data of existing models.

David Ouyang, MD

154,936 просмотров • 1 год назад

🚀 Introducing KumoRFM — the world’s first Relational Foundation Model purpose-built for enterprise prediction tasks! KumoRFM reasons over complex relational data to deliver instant, accurate, in-context predictions — no task-specific model training required. A true game-changer for solving key business problems like: ✅ Product recommendations ✅ Fraud detection ✅ Customer retention 🔗 Explore KumoRFM: 📄 Read the paper: 💡 Learn more: #AI #EnterpriseAI #RelationalAI #FoundationModels #MachineLearning #KumoRFM #PredictiveAI4o
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🚀 Introducing KumoRFM — the world’s first Relational Foundation Model purpose-built for enterprise prediction tasks! KumoRFM reasons over complex relational data to deliver instant, accurate, in-context predictions — no task-specific model training required. A true game-changer for solving key business problems like: ✅ Product recommendations ✅ Fraud detection ✅ Customer retention 🔗 Explore KumoRFM: 📄 Read the paper: 💡 Learn more: #AI #EnterpriseAI #RelationalAI #FoundationModels #MachineLearning #KumoRFM #PredictiveAI4o

Jure Leskovec

63,601 просмотров • 1 год назад

Kokoro is insane. 🤯 This AI is a groundbreaking TTS model with just 82M parameters. It outperforms larger models and generates minutes of speech in seconds. APACHE 2.0 licensed, trained on < 100 hours of audio is now available in ai-gradio pip install --upgrade "ai-gradio[kokoro]" import gradio as gr import ai_gradio gr.load(name='kokoro:kokoro-v0_19', src=ai_gradio.registry,).launch()
0:33

Kokoro is insane. 🤯 This AI is a groundbreaking TTS model with just 82M parameters. It outperforms larger models and generates minutes of speech in seconds. APACHE 2.0 licensed, trained on < 100 hours of audio is now available in ai-gradio pip install --upgrade "ai-gradio[kokoro]" import gradio as gr import ai_gradio gr.load(name='kokoro:kokoro-v0_19', src=ai_gradio.registry,).launch()

AK

114,000 просмотров • 1 год назад

Wuchang: Fallen Feathers launches this month on PS5, Xbox and PC🚀 ✅Souls-like Action/RPG ✅Final years of Ming Dynasty ✅Connected maps ✅Fluid combat ✅More Action than stat-driven ✅Focus on Level design, combat & story ✅Diablo-like skills ✅Specialize in a style ✅Build variety ✅5 weapon categories ✅25 unique weapons ✅40 different spells ✅Doge/parry bring resources ✅5 main levels ✅Each can take up to 10 hours ✅~60 hours to finish the game ✅Launching on PlayStation, Xbox and PC ✅Coming July 24, 2025 ✅Inspired by Monster Hunter, Bloodborne, Ninja Gaiden and Sekiro Play or pass?😎 WUCHANG: Fallen Feathers
1:33

Wuchang: Fallen Feathers launches this month on PS5, Xbox and PC🚀 ✅Souls-like Action/RPG ✅Final years of Ming Dynasty ✅Connected maps ✅Fluid combat ✅More Action than stat-driven ✅Focus on Level design, combat & story ✅Diablo-like skills ✅Specialize in a style ✅Build variety ✅5 weapon categories ✅25 unique weapons ✅40 different spells ✅Doge/parry bring resources ✅5 main levels ✅Each can take up to 10 hours ✅~60 hours to finish the game ✅Launching on PlayStation, Xbox and PC ✅Coming July 24, 2025 ✅Inspired by Monster Hunter, Bloodborne, Ninja Gaiden and Sekiro Play or pass?😎 WUCHANG: Fallen Feathers

Rino🚀

28,056 просмотров • 1 год назад

✈️ Starting the day in Istanbul. Let's talk AI. The future of AI won't be shaped by size, but by precision. Lately I've been diving into what OpenLedger has been building, and I think we're witnessing one of the most important hard forks in AI: 👉 From giant generalist models 👉 To focused, hightrust AI agents Here's why that shift matters , and why OpenLedger's vision makes perfect sense: ✅ Specialized > Generalized General AI can do many things. But specialized AI? It does one thing extraordinarily well. Tailored models don't waste compute on irrelevant context, every parameter is purposedriven. ✅ Explainability isn't optional anymore In highstakes sectors like finance or healthcare, because the model said so won't cut it. We need transparent reasoning paths. Models must show how they reached conclusions , not just what they concluded. ✅ Trust comes from traceability With OpenLedger's Proof of Attribution, each AI decision is traceable, verifiable, and tamperproof. We're talking onchain records of who contributed what , accountability by design. ✅ Less hallucination, more signal Smaller, specialized models trained on clean, domainspecific data are far less prone to hallucinations. Clear boundaries = higher reliability. ✅ Efficiency is the real scalability Deploying one massive model for everything? Expensive, slow, and unsustainable. Specialized AI is leaner, faster, and far more costeffective. In short, OpenLedger isn't just following a trend. They're laying the rails for the infrastructure layer of verifiable, domainaware AI. And in a space flooded with blackbox models and hype, that clarity hits different.
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✈️ Starting the day in Istanbul. Let's talk AI. The future of AI won't be shaped by size, but by precision. Lately I've been diving into what OpenLedger has been building, and I think we're witnessing one of the most important hard forks in AI: 👉 From giant generalist models 👉 To focused, hightrust AI agents Here's why that shift matters , and why OpenLedger's vision makes perfect sense: ✅ Specialized > Generalized General AI can do many things. But specialized AI? It does one thing extraordinarily well. Tailored models don't waste compute on irrelevant context, every parameter is purposedriven. ✅ Explainability isn't optional anymore In highstakes sectors like finance or healthcare, because the model said so won't cut it. We need transparent reasoning paths. Models must show how they reached conclusions , not just what they concluded. ✅ Trust comes from traceability With OpenLedger's Proof of Attribution, each AI decision is traceable, verifiable, and tamperproof. We're talking onchain records of who contributed what , accountability by design. ✅ Less hallucination, more signal Smaller, specialized models trained on clean, domainspecific data are far less prone to hallucinations. Clear boundaries = higher reliability. ✅ Efficiency is the real scalability Deploying one massive model for everything? Expensive, slow, and unsustainable. Specialized AI is leaner, faster, and far more costeffective. In short, OpenLedger isn't just following a trend. They're laying the rails for the infrastructure layer of verifiable, domainaware AI. And in a space flooded with blackbox models and hype, that clarity hits different.

Crypto Sinan

13,636 просмотров • 11 месяцев назад

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership
29:51

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

Matrix AI Network

60,855 просмотров • 2 месяцев назад

Most AI projects don't fail because models aren't good enough. They fail because inference economics don't scale. During #CXOSpice, Roman Chernin Nebius broke it down: ✅Closed models kill margins ✅Open models unlock control, if you can run them well ✅DataData only becomes a moat when inference is sustainable One team cut inference costs 26× in production. Only 30% of orgs use AI at scale, mostly in 1% of workloads. We're just getting started. Full conversation: #AI #Inference #TechInnovation Learn more about Nebius Token Factory:
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Most AI projects don't fail because models aren't good enough. They fail because inference economics don't scale. During #CXOSpice, Roman Chernin Nebius broke it down: ✅Closed models kill margins ✅Open models unlock control, if you can run them well ✅DataData only becomes a moat when inference is sustainable One team cut inference costs 26× in production. Only 30% of orgs use AI at scale, mostly in 1% of workloads. We're just getting started. Full conversation: #AI #Inference #TechInnovation Learn more about Nebius Token Factory:

Helen Yu

13,662 просмотров • 6 месяцев назад