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Introducing Speech Engine. Developers can now turn their existing chat agent into a full voice agent with one prompt. Speech Engine combines our leading speech, transcription, and voice orchestration models into a single pipeline - all custom built to work best together.

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ElevenLabs

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134,090 görüntüleme • 1 ay önce •via X (Twitter)

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Your AI agent just got a voice. And yeah, it might be yours Goose + ElevenLabs = - Voice cloning - Audio editing - Speech transcription All from one single prompt.
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Your AI agent just got a voice. And yeah, it might be yours Goose + ElevenLabs = - Voice cloning - Audio editing - Speech transcription All from one single prompt.

goose

93,245 görüntüleme • 1 yıl önce

Speech to Speech is now available in 29 languages. In November, we launched Speech to Speech, enabling you to transform your voice into another character with full control over emotions, timing, and delivery. Today we're making Speech to Speech multilingual. Use Speech to Speech to get more control than with prompting alone. Simply say it how you want it, choose a target voice, and generate.
0:37

Speech to Speech is now available in 29 languages. In November, we launched Speech to Speech, enabling you to transform your voice into another character with full control over emotions, timing, and delivery. Today we're making Speech to Speech multilingual. Use Speech to Speech to get more control than with prompting alone. Simply say it how you want it, choose a target voice, and generate.

ElevenLabs

113,317 görüntüleme • 2 yıl önce

Every chatbot is about to get a voice. ElevenLabs Speech Engine just lets you add human-like voice to any LLM agent in 70+ languages. OpenAI, Claude, Gemini, custom stack. One Prompt. No rebuild needed.🧵 #ad #ElevenAPIPartner
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Every chatbot is about to get a voice. ElevenLabs Speech Engine just lets you add human-like voice to any LLM agent in 70+ languages. OpenAI, Claude, Gemini, custom stack. One Prompt. No rebuild needed.🧵 #ad #ElevenAPIPartner

Min Choi

28,220 görüntüleme • 1 ay önce

What happens when speech, transcription, and coding models work together? This prototype demo, built using a VS Code fork, showcases how MAI-Transcribe, MAI-Voice, and MAI-Code-1-Flash can work together in a unified workflow to transform spoken instructions into working code.
1:11

What happens when speech, transcription, and coding models work together? This prototype demo, built using a VS Code fork, showcases how MAI-Transcribe, MAI-Voice, and MAI-Code-1-Flash can work together in a unified workflow to transform spoken instructions into working code.

Microsoft AI

30,317 görüntüleme • 22 gün önce

Our latest speech-to-speech model is faster, more accurate, and excels at function calling. Watch @promptshant and Brian Fioca build a realtime voice agent that can search the web and hand off tasks to reasoning models with full context.
1:58

Our latest speech-to-speech model is faster, more accurate, and excels at function calling. Watch @promptshant and Brian Fioca build a realtime voice agent that can search the web and hand off tasks to reasoning models with full context.

OpenAI Developers

81,822 görüntüleme • 1 yıl önce

You can turn an existing LangGraph agent into a fully functional voice agent with Pipecat AI. This 17-minute walkthrough shows you exactly how to do it.
16:58

You can turn an existing LangGraph agent into a fully functional voice agent with Pipecat AI. This 17-minute walkthrough shows you exactly how to do it.

LangChain

18,294 görüntüleme • 16 gün 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
0:30

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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EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine github: EmotiVoice is a powerful and modern open-source text-to-speech engine. EmotiVoice speaks both English and Chinese, and with over 2000 different voices. The most prominent feature is emotional synthesis, allowing you to create speech with a wide range of emotions, including happy, excited, sad, angry and others.
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EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine github: EmotiVoice is a powerful and modern open-source text-to-speech engine. EmotiVoice speaks both English and Chinese, and with over 2000 different voices. The most prominent feature is emotional synthesis, allowing you to create speech with a wide range of emotions, including happy, excited, sad, angry and others.

AK

312,299 görüntüleme • 2 yıl önce

I built a simple voice assistant in 70 lines of Python code. It uses: • LiveKit - The voice agent • AssemblyAI - To turn your voice into text • OpenAI - The brain of the agent, and to turn text into audio There's something really cool about this:
6:55

I built a simple voice assistant in 70 lines of Python code. It uses: • LiveKit - The voice agent • AssemblyAI - To turn your voice into text • OpenAI - The brain of the agent, and to turn text into audio There's something really cool about this:

Santiago

34,632 görüntüleme • 11 ay önce

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 • 21 gün önce

🌟Introducing🎻Violin — an Open-source Video Translation Skill. 📹Video is the dominant medium on the internet, yet most high-quality content (lecture, talk, podcast) is locked behind a single language, leaving global audiences behind. So we built Violin: a video skill that combines speech recognition, LLM translation, and speech synthesis into one seamless pipeline. 🌐 Demo: 📝 Blog: 🔗 GitHub: ✨Key Features: 🎙️High-quality multilingual ASR & Translation & TTS. 🗣️Personalize translation & voice (turn an academic talk into something children can follow). 💬Chat with the video — ask any questions grounded in the video. 🧩Support Web app, CLI, and Agent skill 🍃Fully open-source under MIT. ❤️Built with the wonderful Shang Zhu and advised by James Zou ! All features powered by Together AI . Try it and let us know what you think! 🎻
0:41

🌟Introducing🎻Violin — an Open-source Video Translation Skill. 📹Video is the dominant medium on the internet, yet most high-quality content (lecture, talk, podcast) is locked behind a single language, leaving global audiences behind. So we built Violin: a video skill that combines speech recognition, LLM translation, and speech synthesis into one seamless pipeline. 🌐 Demo: 📝 Blog: 🔗 GitHub: ✨Key Features: 🎙️High-quality multilingual ASR & Translation & TTS. 🗣️Personalize translation & voice (turn an academic talk into something children can follow). 💬Chat with the video — ask any questions grounded in the video. 🧩Support Web app, CLI, and Agent skill 🍃Fully open-source under MIT. ❤️Built with the wonderful Shang Zhu and advised by James Zou ! All features powered by Together AI . Try it and let us know what you think! 🎻

Kevin Lin

138,451 görüntüleme • 1 ay önce

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.
1:24

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

274,396 görüntüleme • 6 ay önce

Can your voice agent pronounce "hydroxychloroquine?" If you're using our latest Text to Speech model, Aura-2, it can. Aura-2 sounds natural, but also delivers ultralow latency and leading accuracy and pronunciation so your customers hang up with a smile.
0:56

Can your voice agent pronounce "hydroxychloroquine?" If you're using our latest Text to Speech model, Aura-2, it can. Aura-2 sounds natural, but also delivers ultralow latency and leading accuracy and pronunciation so your customers hang up with a smile.

Deepgram

92,259 görüntüleme • 1 yıl önce

With Invincible Voice, we help people living with ALS communicate more easily. Encountering Olivier Goy, an entrepreneur who lives with ALS and relentlessly fights to help all patients, made it obvious that our cutting-edge voice AI should help. We turned our Unmute voice-wrapper into a new system that 1/ transcribes interlocutor’s speech in real time, 2/ suggests various relevant responses via a personalised language model, 3/ utters patient's chosen response with their voice (using 10s pre-disease speech recordings). True to our philosophy, we open-source Invincible Voice, so that developers can refine the prototype, port it from French to other languages, adapt it to other conditions (aphasia, neurodegenerative diseases) and turn it into a deployable product. Its modularity also allows it to leverage technologies developed by Gradium that supports Invincible Voice by granting it free access to its multilingual speech models.
2:40

With Invincible Voice, we help people living with ALS communicate more easily. Encountering Olivier Goy, an entrepreneur who lives with ALS and relentlessly fights to help all patients, made it obvious that our cutting-edge voice AI should help. We turned our Unmute voice-wrapper into a new system that 1/ transcribes interlocutor’s speech in real time, 2/ suggests various relevant responses via a personalised language model, 3/ utters patient's chosen response with their voice (using 10s pre-disease speech recordings). True to our philosophy, we open-source Invincible Voice, so that developers can refine the prototype, port it from French to other languages, adapt it to other conditions (aphasia, neurodegenerative diseases) and turn it into a deployable product. Its modularity also allows it to leverage technologies developed by Gradium that supports Invincible Voice by granting it free access to its multilingual speech models.

kyutai

11,028 görüntüleme • 5 ay önce

Introducing Voice Design. Generate a unique voice from a text prompt alone. Is our library missing a voice you need? Prompt your own.
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Introducing Voice Design. Generate a unique voice from a text prompt alone. Is our library missing a voice you need? Prompt your own.

ElevenLabs

417,577 görüntüleme • 1 yıl önce

Introducing @Chatbase Voice. The same AI agent that handles your emails and website chat, can now pick up the phone. One agent, deployed on every channel. Comment "voice" to get a personalized demo & 1 month free.
2:24

Introducing @Chatbase Voice. The same AI agent that handles your emails and website chat, can now pick up the phone. One agent, deployed on every channel. Comment "voice" to get a personalized demo & 1 month free.

Yasser

32,357 görüntüleme • 3 ay önce

Day 1 of 3 days of MLX: Introducing MLX-Audio-Swift SDK 🚀 A modular Swift SDK for voice agents and tasks on Apple Silicon built by Lucas Newman and yours truly. iOS, macOS, and visionOS developers can now build native apps with real-time, on-device audio intelligence: 🗣️ Text-to-Speech (TTS) 👂 Speech-to-Text (STT) 🔄 Speech-to-Speech (STS) 🎙️ Voice Activity Detection (VAD) and more. Only import the capabilities you need, nothing extra. Get started today and leave us a star ⭐️
4:29

Day 1 of 3 days of MLX: Introducing MLX-Audio-Swift SDK 🚀 A modular Swift SDK for voice agents and tasks on Apple Silicon built by Lucas Newman and yours truly. iOS, macOS, and visionOS developers can now build native apps with real-time, on-device audio intelligence: 🗣️ Text-to-Speech (TTS) 👂 Speech-to-Text (STT) 🔄 Speech-to-Speech (STS) 🎙️ Voice Activity Detection (VAD) and more. Only import the capabilities you need, nothing extra. Get started today and leave us a star ⭐️

Prince Canuma

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Introducing Mainframe: turn agent work into videos your team can keep up with.
0:59

Introducing Mainframe: turn agent work into videos your team can keep up with.

Mainframe

135,088 görüntüleme • 1 ay önce

Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.
0:45

Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.

Vedant

15,714 görüntüleme • 1 ay önce