Latest news with #TextToSpeech
Geeky Gadgets
2 days ago
- Geeky Gadgets
ElevenLabs Launches Eleven v3 (alpha) : New Expressive Text to Speech Model
ElevenLabs has launched Eleven v3 (alpha), a new Text to Speech model designed to deliver highly expressive and realistic speech generation. This version introduces advanced features like multi-speaker dialogue, inline audio tags for emotional and tonal control, and support for over 70 languages. While it requires more prompt engineering than previous models, it offers significant improvements in expressiveness and naturalness, making it ideal for applications in media, audiobooks, and creative projects. A real-time version is under development, and API access will be available soon. At the core of Eleven v3 is its ability to produce highly expressive and lifelike speech, offering users greater control over tone, emotion, and delivery. This is achieved through several innovative features: ElevenLabs Eleven v3 (alpha) Text to Speech AI Model Advanced emotional and tonal controls: Users can fine-tune voice delivery to convey specific emotions or tones, enhancing the natural flow of speech. Users can fine-tune voice delivery to convey specific emotions or tones, enhancing the natural flow of speech. Inline audio tags: Tags such as '[whispers]' or '[laughs]' allow for the seamless integration of non-verbal cues like sighs, laughter, and whispers, making speech more dynamic and engaging. Tags such as '[whispers]' or '[laughs]' allow for the seamless integration of non-verbal cues like sighs, laughter, and whispers, making speech more dynamic and engaging. Multi-speaker dialogue synthesis: The new Text-to-Dialogue API enables the creation of overlapping, realistic conversations between multiple speakers, complete with smooth transitions and nuanced emotional shifts. These features make Eleven v3 particularly valuable for applications such as storytelling, audiobooks, media production, and interactive entertainment. By allowing more natural and expressive speech, the model enhances the overall user experience across a variety of platforms. Watch this video on YouTube. Breaking Language Barriers Eleven v3 addresses the growing demand for multilingual support by offering compatibility with over 70 languages. This capability ensures that speech output maintains natural stress, cadence, and contextual accuracy across diverse linguistic settings. Improved linguistic adaptability: The model demonstrates a deeper understanding of accents, dialects, and cultural nuances, making it suitable for a wide range of global audiences. The model demonstrates a deeper understanding of accents, dialects, and cultural nuances, making it suitable for a wide range of global audiences. Applications in multilingual projects: Eleven v3 is well-suited for international audiobooks, educational content, and customer support systems, allowing creators to reach broader audiences. By supporting diverse languages and accents, Eleven v3 fosters inclusive communication and helps bridge language gaps, making it a valuable tool for global accessibility. Real-Time Capabilities and Developer Integration Although Eleven v3 currently requires more prompt engineering than its predecessors, a real-time version is under development. This future iteration is expected to cater to applications that demand instantaneous speech synthesis, such as live voiceovers and conversational AI systems. The model also offers robust API integration, allowing developers to incorporate its features into existing workflows and platforms. This flexibility makes Eleven v3 a versatile tool for industries such as: Gaming: Creating lifelike character voices and immersive in-game dialogues. Creating lifelike character voices and immersive in-game dialogues. Film and media: Enhancing voiceovers and character-driven narratives. Enhancing voiceovers and character-driven narratives. Education: Generating engaging and accessible learning materials. Generating engaging and accessible learning materials. Accessibility: Improving digital tools for individuals with disabilities. The combination of real-time capabilities and developer-friendly integration ensures that Eleven v3 can meet the diverse needs of professionals across multiple sectors. Applications Across Industries The enhanced expressiveness and realism of Eleven v3 open up a wide range of applications, particularly in creative and functional domains. Media and entertainment: Filmmakers and game developers can use the model to create lifelike character voices, while audiobook producers can deliver more emotionally resonant narratives. Filmmakers and game developers can use the model to create lifelike character voices, while audiobook producers can deliver more emotionally resonant narratives. Accessibility tools: The model's ability to generate clear and expressive speech can improve digital experiences for individuals with visual impairments or other disabilities, making content more inclusive. The model's ability to generate clear and expressive speech can improve digital experiences for individuals with visual impairments or other disabilities, making content more inclusive. Customer service: Multilingual and emotionally nuanced speech capabilities can enhance automated customer support systems, providing a more human-like interaction. Multilingual and emotionally nuanced speech capabilities can enhance automated customer support systems, providing a more human-like interaction. Education: Eleven v3 can be used to create engaging educational content, including language learning tools and interactive lessons. By offering a combination of emotional depth, linguistic versatility, and technical precision, Eleven v3 has the potential to transform how industries approach voice generation and communication. Availability and Future Developments Eleven v3 is currently available on the ElevenLabs platform, with an 80% discount on the ElevenLabs app offered until the end of June. API access and Studio support are expected to roll out soon, with early access available through direct sales contact. For applications requiring real-time speech synthesis, ElevenLabs recommends using v2.5 Turbo or Flash until the real-time version of v3 becomes available. Addressing Challenges and Advancing TTS Technology Eleven v3 was designed to address the limitations of earlier models, particularly in terms of expressiveness and naturalness. By allowing lifelike and responsive speech, the model meets the needs of professionals in industries such as film, gaming, education, and accessibility. As demand for realistic AI voice generation continues to grow, Eleven v3 represents a significant advancement in TTS technology. Its combination of emotional nuance, multilingual support, and developer-friendly integration positions it as a valuable tool for both creative and functional applications. By focusing on realism, versatility, and accessibility, Eleven v3 demonstrates the potential of AI-driven speech synthesis to enhance communication and storytelling across a wide range of industries. Here are additional guides from our expansive article library that you may find useful on Text-to-Speech. Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Yahoo
21-05-2025
- Business
- Yahoo
Smallest.ai Unveils Lightning V2 - World's Fastest, Most Human-Like AI Text-to-Speech in 16+ Languages
SAN FRANCISCO, May 21, 2025 /PRNewswire/ -- Foundational AI company today announced the launch of Lightning V2, a next-generation Text-to-Speech (TTS) model delivering exceptional voice realism, ultra-low latency, and deep customization- engineered to meet the evolving needs of modern enterprises. Supporting over 16 languages across the US, Europe, the Middle East, and India, Lightning V2 is designed to offer hyper-realistic, multilingual voice synthesis at a third of the cost of every competitor in the market. With 100ms streaming latency, voice cloning from just 10 seconds of audio, and seamless language switching, it enables real-time, emotionally rich voice experiences across customer support, virtual assistants, booking systems, and more. Voice That Feels Human- At Scale Whether it's English with a Midwest accent, Hindi with natural pauses, or Arabic spoken with regional fluency, Lightning V2 delivers voices that are less synthetic and more realistic. Its voice cloning capabilities enable brands to create unique voice identities using a few seconds of sample audio-making it easy to replicate known voices or create localized personas for different regions. One enterprise customer reported over 50% reduction in call drops and a 70% increase in average call time after switching to Lightning V2- attributing the change to the more natural and trustworthy sound of the new voices. Built for the Real Demands of Modern Enterprises Beyond voice quality, Lightning V2 is built on Full-Stack Voice AI Platform, a system where the AI model, infrastructure, and application layer are developed in-house. This allows for deep adaptability and control, especially for teams building dynamic voice products. What is Full-Stack Voice AI? It means businesses get not just a voice model- but a system that learns, adapts, and evolves with usage. Whether you're powering support lines or integrating into AI agents, Lightning V2 ensures voice responses can flex with context and complexity. With Lightning V2, businesses can: Switch prompts on the fly as conversations move through different stages Tune speech outputs for specific domains like fintech, healthcare, or education Identify errors in real time and adjust without full model retraining Its streaming-first architecture, low time-to-first-byte (TTFB), and real-time responsiveness make it ideal for developers building interactive voice systems that need to feel intuitive and immediate. Why Lightning V2 Stands Out: 16+ supported languages including English (US, UK, Indian), Hindi, Arabic, German, Tamil, Telugu, and more 100ms streaming latency for real-time dialogue applications Fluent handling of numbers, currency, and special characters On-premise support for high-compliance environments "Conversations aren't static. They have stages, emotions, and shifts in intent," said Sudarshan Kamath, Co-founder of "Our platform gives teams the tools to adapt the AI mid-conversation, not just before deployment. That's the difference between good voice automation and great customer experience." And because trains its own models and controls the application layer, businesses get end-to-end visibility and customization, something rarely available in off-the-shelf AI products. About was founded in 2023 by Sudarshan Kamath and Akshat Mandloi, after years of building AI for electric vehicles, autonomous systems, and drones across the US, EU, Japan, and India. Their mission is to create foundational multi-modal AI that works in the real world, not just in the lab. was founded to answer a simple question: "why do a billion humans not speak to AI every single day?" From voice interfaces to real-world deployment tools, every product we build brings us closer to making AI more human, accessible, and intuitive- across languages, accents, and cultures. The company is backed by leading investors including 3one4 Capital, Better Capital, Upsparks Capital, Aarthi Ramamurthy, Michele Attisani, Peercheque, Global DeVC, Tiny VC, and a host of other global angels. With Lightning V2, takes a major step toward building intelligent, adaptable, and deeply human voice experiences—redefining how businesses interact with their customers, employees, and systems. Website: Photo: View original content to download multimedia: SOURCE Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
