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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 🆕...

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AssemblyAI

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18,105 görüntüleme • 8 ay önce •via X (Twitter)

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This is wild. Hume AI just dropped Octave 2. Ultra realistic text-to-speech AI model in 10+ languages with multi-speaker + voice cloning. 100% AI 8 wild examples + how to try:
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This is wild. Hume AI just dropped Octave 2. Ultra realistic text-to-speech AI model in 10+ languages with multi-speaker + voice cloning. 100% AI 8 wild examples + how to try:

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Flux Multilingual is live. Real-time conversational speech-to-text for voice agents in 10 languages, with monolingual-grade accuracy, turn detection, and code-switching. Deploy once and launch globally. Learn more →
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Flux Multilingual is live. Real-time conversational speech-to-text for voice agents in 10 languages, with monolingual-grade accuracy, turn detection, and code-switching. Deploy once and launch globally. Learn more →

Deepgram

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Introducing Gemini 3.1 Flash TTS 🗣️, our latest text to speech model with scene direction, speaker level specificity, audio tags, more natural + expressive voices, and support for 70 different languages. Available via our new audio playground in AI Studio and in the Gemini API!
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Introducing Gemini 3.1 Flash TTS 🗣️, our latest text to speech model with scene direction, speaker level specificity, audio tags, more natural + expressive voices, and support for 70 different languages. Available via our new audio playground in AI Studio and in the Gemini API!

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Excited about the launch of Amazon Nova Sonic, our new speech-to-speech model that helps make AI voice applications feel remarkably natural. It's designed to understand not just what people say, but how they say it – working with tone, style, and conversation flow including pauses and interruptions. Nova Sonic delivers speech understanding and generation through a single, unified model, making it easier for builders to develop voice applications that maintain important context and nuance for customer service, AI agents, and other use cases across industries. It’s available in Amazon Bedrock now. Look forward to seeing what teams build with Nova Sonic!
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Excited about the launch of Amazon Nova Sonic, our new speech-to-speech model that helps make AI voice applications feel remarkably natural. It's designed to understand not just what people say, but how they say it – working with tone, style, and conversation flow including pauses and interruptions. Nova Sonic delivers speech understanding and generation through a single, unified model, making it easier for builders to develop voice applications that maintain important context and nuance for customer service, AI agents, and other use cases across industries. It’s available in Amazon Bedrock now. Look forward to seeing what teams build with Nova Sonic!

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We’re finally breaking the silence 🔊 Meet Higgsfield Audio, our all-in-one AI audio generator. Higgsfield is now the ultimate full-cycle AI content production platform. 🧩 Give a voice to any of your text with 21 voice presets 🧩 Change the voice in any of your videos 🧩 Translate and lip-sync any speech in 10 built-in languages An end-to-end AI workflow under one subscription.
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We’re finally breaking the silence 🔊 Meet Higgsfield Audio, our all-in-one AI audio generator. Higgsfield is now the ultimate full-cycle AI content production platform. 🧩 Give a voice to any of your text with 21 voice presets 🧩 Change the voice in any of your videos 🧩 Translate and lip-sync any speech in 10 built-in languages An end-to-end AI workflow under one subscription.

Higgsfield AI 🧩

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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 →
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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

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Add near real-time voice translation to your apps with Gemini 3.5 Live Translate via the Gemini Live API. 🎙️ Watch how the model handles live broadcast ingestion and translation with continuous speech-to-speech streaming (S2ST) and synced transcripts, letting users tune into global radio broadcasts in their native language.
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Add near real-time voice translation to your apps with Gemini 3.5 Live Translate via the Gemini Live API. 🎙️ Watch how the model handles live broadcast ingestion and translation with continuous speech-to-speech streaming (S2ST) and synced transcripts, letting users tune into global radio broadcasts in their native language.

Google AI Developers

3,543,687 görüntüleme • 1 ay önce

What if voice AI could understand context, intent, and emotion — not just words? 🎙️ Meet Seed Speech 2.0. A new speech AI stack designed for natural, expressive conversations — with major upgrades in both text-to-speech (TTS) and speech recognition (ASR). Built for developers and creators who want natural conversational speech. What’s inside: - Natural and expressive speech generation - Prompt-controlled emotion and tone - High-accuracy multilingual recognition - Strong contextual reasoning Built for: 🎧 Voice content creation 🤖 AI assistants ☎️ Customer service 🎬 Dubbing & subtitling 📊 Audio-video analysis Voice AI built for expression, accuracy, and understanding. Try it now → Read more about Seed Speech here → #SeedSpeech #VoiceAI #SpeechAI #AI
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What if voice AI could understand context, intent, and emotion — not just words? 🎙️ Meet Seed Speech 2.0. A new speech AI stack designed for natural, expressive conversations — with major upgrades in both text-to-speech (TTS) and speech recognition (ASR). Built for developers and creators who want natural conversational speech. What’s inside: - Natural and expressive speech generation - Prompt-controlled emotion and tone - High-accuracy multilingual recognition - Strong contextual reasoning Built for: 🎧 Voice content creation 🤖 AI assistants ☎️ Customer service 🎬 Dubbing & subtitling 📊 Audio-video analysis Voice AI built for expression, accuracy, and understanding. Try it now → Read more about Seed Speech here → #SeedSpeech #VoiceAI #SpeechAI #AI

BytePlus

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You can use Cerebras' gpt-oss-120b to build realistic speech-to-speech voice interfaces with emotion via Hume AI's new EVI 3. Perfect for your next voice ai project! Link to try below 👇
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You can use Cerebras' gpt-oss-120b to build realistic speech-to-speech voice interfaces with emotion via Hume AI's new EVI 3. Perfect for your next voice ai project! Link to try below 👇

Cerebras

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Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!
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Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!

Sundar Pichai

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In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:
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In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

DeepLearning.AI

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New course: Add voice to your AI agents and applications, built with Vocal Bridge (disclosure: an AI Fund portfolio company) and taught by its CEO Ashwyn Sharma. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast. You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function. Skills you'll gain: - Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools - Give an agent the ability to place outbound calls and stream transcripts back live - Set up voice evaluation to score calls, catch regressions, and improve quality before deployment Join and add voice to your agents without overhauling your architecture:
2:27

New course: Add voice to your AI agents and applications, built with Vocal Bridge (disclosure: an AI Fund portfolio company) and taught by its CEO Ashwyn Sharma. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast. You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function. Skills you'll gain: - Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools - Give an agent the ability to place outbound calls and stream transcripts back live - Set up voice evaluation to score calls, catch regressions, and improve quality before deployment Join and add voice to your agents without overhauling your architecture:

Andrew Ng

79,143 görüntüleme • 24 gün önce

Introducing Willow Scribe: a voice AI writing assistant that clears your emails, docs, and messages in seconds. It uses your style and context to write exactly what you want, in your voice. Just say it and Scribe writes it. See the future of voice AI for knowledge work 🧵
1:38

Introducing Willow Scribe: a voice AI writing assistant that clears your emails, docs, and messages in seconds. It uses your style and context to write exactly what you want, in your voice. Just say it and Scribe writes it. See the future of voice AI for knowledge work 🧵

Willow

149,111 görüntüleme • 1 ay önce

Introducing Conversational AI 2.0 Build voice agents with: • New state-of-the-art turn-taking model • Language switching • Multicharacter mode • Multimodality • Batch calls • Built-in RAG Now fully enterprise-ready with HIPAA compliance, EU data residency, and robust security.
1:37

Introducing Conversational AI 2.0 Build voice agents with: • New state-of-the-art turn-taking model • Language switching • Multicharacter mode • Multimodality • Batch calls • Built-in RAG Now fully enterprise-ready with HIPAA compliance, EU data residency, and robust security.

ElevenLabs

232,522 görüntüleme • 1 yıl önce

Introducing Empathic Voice Interface 2 (EVI 2), our new voice-to-voice foundation model. EVI 2 merges language and voice into a single model trained specifically for emotional intelligence. You can try it and start building today.
8:06

Introducing Empathic Voice Interface 2 (EVI 2), our new voice-to-voice foundation model. EVI 2 merges language and voice into a single model trained specifically for emotional intelligence. You can try it and start building today.

Hume AI

165,616 görüntüleme • 1 yıl önce

say hello to my little friend 🤖 3D model control (move, rotate, scale, animate) using hand gestures and voice commands, running in real-time in the browser! created with Three.js, Rosebud AI, mediapipe computer vision, and web speech API credit to Quaternius for the robot model 🔗 demo below
0:52

say hello to my little friend 🤖 3D model control (move, rotate, scale, animate) using hand gestures and voice commands, running in real-time in the browser! created with Three.js, Rosebud AI, mediapipe computer vision, and web speech API credit to Quaternius for the robot model 🔗 demo below

AA

30,775 görüntüleme • 1 yıl önce

We added 600+ new voices on Together AI! Introducing MiniMax Speech 2.8 Turbo on Together AI, an enterprise TTS model for expressive real-time voice agents. AI natives can now deploy MiniMax (official) Speech 2.8 Turbo on Together AI dedicated infrastructure, and try the voices directly in voice finder.
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We added 600+ new voices on Together AI! Introducing MiniMax Speech 2.8 Turbo on Together AI, an enterprise TTS model for expressive real-time voice agents. AI natives can now deploy MiniMax (official) Speech 2.8 Turbo on Together AI dedicated infrastructure, and try the voices directly in voice finder.

Together AI

21,814 görüntüleme • 1 ay önce

Today we’re excited to introduce Bland TTS, the first voice AI to cross the uncanny valley. Several months ago, our team solved one-shot style transfer of human speech. That means, from a single, brief MP3, you can clone any voice or remix another clone’s style (tone, cadence, or pronunciations, etc.). With Bland TTS: • Creatives can turn text into realistic sound effects or AI voice tracks with precise control over style and emotion. • Developers can plug in our TTS API to build voice apps fully customized to their liking. • Enterprises can launch AI-driven support lines that sound so natural — customers will save you as a contact (try talking to it on our site). 🧵Check out the thread below or visit our website to get started for free
2:30

Today we’re excited to introduce Bland TTS, the first voice AI to cross the uncanny valley. Several months ago, our team solved one-shot style transfer of human speech. That means, from a single, brief MP3, you can clone any voice or remix another clone’s style (tone, cadence, or pronunciations, etc.). With Bland TTS: • Creatives can turn text into realistic sound effects or AI voice tracks with precise control over style and emotion. • Developers can plug in our TTS API to build voice apps fully customized to their liking. • Enterprises can launch AI-driven support lines that sound so natural — customers will save you as a contact (try talking to it on our site). 🧵Check out the thread below or visit our website to get started for free

Bland

45,967,365 görüntüleme • 1 yıl önce

🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days​. Join us today at 11 AM PT to see an end-to-end demo and bring your Qs: 🤗 Get Nemotron Nano 3:
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🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days​. Join us today at 11 AM PT to see an end-to-end demo and bring your Qs: 🤗 Get Nemotron Nano 3:

NVIDIA AI Developer

100,151 görüntüleme • 6 ay önce