LMNT

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LMNT delivers ultrafast, lifelike AI speech. Enjoy studio-quality voice clones and insanely low latency streaming ideal for conversational apps, games, and agents. Engineered for reliability, scale effortlessly with technology built by an ex-Google team.

How LMNT can help you:

Facilitates low latency streaming for real-time applications.
Offers lifelike voices with studio-quality voice clones from a brief recording.
Supports reliable, scalable solutions for high-demand environments.

Why choose LMNT: Key features

Ultrafast streaming capabilities.
Lifelike voice cloning technology.
Engineered for scale and reliability by an ex-Google team.

Who should choose LMNT:

Developers creating conversational apps, games, and agents seeking low latency and high-quality voice outputs.
Content creators in need of high-quality, lifelike voiceovers for videos and avatars.
Businesses aiming to craft engaging marketing videos or immersive conversational experiences.

About LMNT

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https://www.lmnt.com

Release Date

March 2024

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LLaMA-Omni: The open-source AI that's giving Siri and Alexa a run for their money

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers at the Chinese Academy of Sciences have developed an AI model that could change how we interact with digital assistants. The new system, dubbed LLaMA-Omni, enables real-time speech interaction with large language models (LLMs), promising to transform industries from customer service to healthcare. LLaMA-Omni, built on Meta's open-source Llama 3.1 8B Instruct model, can process spoken instructions and generate both text and speech responses simultaneously. The system boasts an impressive latency as low as 226 milliseconds, rivaling human conversation speed. "LLaMA-Omni supports low-latency and high-quality speech interactions, simultaneously generating both text and speech responses based on speech instructions," the research team stated in their paper published on arXiv. Democratizing voice AI: A game-changer for startups and tech giants alike This breakthrough comes at a crucial time for the AI industry. As tech giants race to integrate voice capabilities into their AI assistants, LLaMA-Omni offers a potential shortcut for smaller companies and researchers. The model can be trained in less than three days using just four GPUs, a fraction of the resources typically required for such advanced systems. "Most LLMs currently only support text-based interactions, which limits their application in scenarios where text input and output are not ideal," the researchers noted, highlighting the growing demand for voice-enabled AI across various sectors. The implications for businesses are significant. Customer service operations could see a dramatic overhaul, with AI-powered voice assistants capable of handling complex queries in real-time. Healthcare providers might employ these systems for more natural patient interactions and dictation. In education, voice-enabled AI tutors could offer personalized instruction with unprecedented responsiveness. Wall Street takes notice: The business impact of conversational AI The financial implications of this technology are substantial. For startups and smaller AI companies, LLaMA-Omni represents a potential equalizer in a field dominated by tech giants. The ability to rapidly develop and deploy sophisticated voice AI systems could spark a new wave of innovation and competition in the market. Investors are likely to take note of companies leveraging this technology, as it has the potential to dramatically reduce the costs and time associated with developing voice-enabled AI products. This could lead to a surge in AI-focused startups and potentially disrupt established players who have invested heavily in proprietary voice AI systems. However, challenges remain. The current model is limited to English and uses synthesized speech that may not yet match the natural quality of top-tier commercial systems. Privacy concerns also loom large, as voice interaction systems typically require processing sensitive audio data. Despite these hurdles, LLaMA-Omni represents a significant step toward more natural voice interfaces for AI assistants and chatbots. As the researchers have open-sourced both the model and code, we can expect rapid iterations and improvements from the global AI community. The future of AI interaction: Voice-first interfaces and market disruption The race for voice-enabled AI is heating up. With tech giants like Apple, Google, and Amazon already deeply invested in voice technology, LLaMA-Omni's efficient architecture could level the playing field for smaller players and researchers. This development has far-reaching implications beyond just technological advancement. It represents a shift towards more inclusive and accessible AI technology. By lowering the barriers to entry for creating sophisticated voice AI systems, LLaMA-Omni could lead to a proliferation of diverse applications tailored to specific industries, languages, and cultural contexts. For businesses and investors, the message is clear: the era of truly conversational AI is approaching faster than many anticipated. Companies that can successfully integrate these technologies into their products and services may find themselves with a significant competitive advantage. Moreover, this could reshape entire industries, from customer service and healthcare to education and entertainment, as voice becomes the primary interface for human-AI interaction. As we stand on the brink of this voice AI revolution, one thing is certain: the way we interact with technology is about to undergo a profound transformation, and LLaMA-Omni may well be remembered as a pivotal moment in this journey.

VentureBeat

Wed, 11 Sept, 10:04 PM UTC

Real-Time AI Voice Agents With Ultra-Low Latency - DZone

Voice mode has quickly become a flagship feature of conversational AI, putting users at ease and allowing them to interact in the most natural way -- through speech. OpenAI has continually blazed trails with the introduction of real-time AI voice agents operating on less than 500ms latency. The technology behind this achievement is now open source, giving unparalleled access to the tools that make it possible to build top-quality responsive voice agents. OpenAI has not been pulling any punches. When they developed the voice capabilities for ChatGPT, they brought in top talent for casting and directing to ensure the voices were immersive while still making them seem as if they belonged. That pool of 400 auditions was then whittled down to the five available today. Not that it was completely smooth sailing; not when the company had to shelve "Sky" due to its striking similarities to Scarlett Johansson. But the real excitement lies in the latest development: the ability to harness this technology locally. Imagine having real-time, speech-to-speech processing with under 500ms latency on your own GPU. It's no longer a distant dream: the system is now fully open-source. To achieve such minimal latency, the AI pipeline is divided into distinct components, each optimized for speed and efficiency: The pipeline begins with the Silero VAD v5 module, responsible for detecting when the user has finished speaking. It's the "gatekeeper" that triggers the next stages of processing. This part of the flow uses some of the more sophisticated models, such as Whisper or DeepSpeech, to transcribe the user's speech into text. For instance, Whisper operates in real-time, with a factor of 0.5; it can, therefore, process speech at two times the speed of real-time and deliver accurate transcriptions in around 100 milliseconds. As the transcription is underway, large language models (LLMs) start predicting possible responses simultaneously. Within 200 milliseconds, the system can generate a relevant text-based reply. The generated response is immediately converted into speech, using fast speech synthesizers, which take another 200 ms to produce high-quality audio. The secret to this impressive speed lies in parallel processing. In contrast with the sequential handling of components, or handling one task at a time, the system does transcription, response generation, and speech synthesis concurrently. This end-to-end design ensures each part of the process works in concert, tremendously reducing the overall time it takes to complete user interaction For example, when the system detects the end of speech, the system starts the transcription process. By the time the transcription is complete, a response has been generated by the language model, and speech synthesis starts immediately afterward. Such parallel processing for tasks ensures that the overall interaction, from user speech to AI response, is complete in less than 500 milliseconds. AI voice agents down to a 500ms latency for human-computer interaction is a significant development in seamless human-computer interaction. The use of this technology is through real-time transcription, rapid response generation, and speech synthesis while delivering ultra-responsive conversational experiences. This means that, with the entire pipeline open source, it becomes possible to integrate this technology into your project. Developers can fine-tune and customize their voice agents for a wide variety of applications, including voice assistants and even real-time gaming avatars. It's not just a step forward; it's an invitation to build the future of conversational AI. So, what will you create with it?

DZone

Mon, 23 Sept, 8:01 PM UTC

ElevenLabs now let's you create a custom voice from a text prompt -- here's why that's exciting

In just a few short months we've seen all kinds of generative AI possibilities emerge from text prompts. Whether it's music with lyrics, new video tools, or a combination of the two with music videos, generative AI is expanding swiftly. Still, dialogue (outside of more robotic text-to-speech options and dedicated chatbots) can be difficult to achieve. ElevenLabs has one of the best synthetic voice models, including cloning real voices (with permission and licensing agreements in place). Its latest project takes things a step further and allows you to design a voice from scratch. I think lending a voice to a character should still remain the area of expertise for trained voice actors, but that isn't always viable. ElevenLabs new Voice Design engine can create a voice from a text prompt in a matter of seconds, and it can then voice anything you want. This helps when you need a very specific voice for a project, or, if you need to be able to change what is being said in real-time based on the flow of a game. If you've ever spent time playing Dungeons and Dragons, you'll know that the right voice can make all the difference when it comes to setting the scene. The Voice Design tool should help players create their own deep backstories and lore, but it also democratizes the technology for indie developers who are working solo on ambitious new projects. Tying it in with AI video generation tools like ElevenLabs own could mean film students are able to create a world, characters, and interactions all within the same project, all working by themselves. ElevenLabs' examples show the more detailed prompt the better, with "an old British male with a rasper, deep voice. Professional, relaxed and assertive" a good example of the power on offer. I'm not sure anyone British calls someone "old bean" anymore, mind, so stereotypes abound.

Tom's Guide

Wed, 23 Oct, 4:08 PM UTC

++Voice AI Revolution: Gnani.ai Launches Voice-to-Voice Language Model Powering 10 Million Calls per Day with NVIDIA AI

Groundbreaking LLM for Speech Automation Supports 14 Languages Gnani.ai redefines the landscape of conversational AI by launching its groundbreaking speech-to-speech large language model (LLM). Powered by the NVIDIA AI-accelerated computing platform, which includes NVIDIA AI Enterprise software for the development and deployment of generative AI applications, the state-of-the-art Gnani.ai model can handle over 10 million voice interactions daily, revolutionizing customer engagement and operational efficiency for over 150 leading enterprises across India and the United States. The model was trained on multi-node NVIDIA Hopper GPUs using the NVIDIA NeMo end-to-end platform for developing custom generative AI -- including LLMs, multimodal, vision, and speech AI -- on over 14 million hours of proprietary multilingual conversational data supporting 14 languages. Gnani.ai's speech-to-speech LLM is helping to set a new standard in AI-powered voice automation, by leveraging the full-stack NVIDIA AI-accelerated computing platform and Gnani.ai's domain expertise. The model delivers faster, smarter, and more human-like responses -- solving complex business challenges across industries, primarily in the banking, financial services and insurance (BFSI) sector along with other industries. Breakthrough Capabilities that Redefine AI-Driven Customer Service Exceptional Speed and Efficiency with NVIDIA NVIDIA full-stack accelerated computing enables the Gnani.ai model to process large volumes of real-time speech data with remarkable speed and precision. This results in instantaneous responses that significantly reduce wait times and improve customer satisfaction.Advanced Integration with NVIDIA Software Incorporating industry-leading software like NVIDIA TensorRT-LLM, NVIDIA Triton and NVIDIA Riva, Gnani.ai's speech-to-speech LLM is built for real-time performance, from voice recognition to response generation. This powerful software stack means customer interactions are fast, natural, and context-aware, delivering results that feel authentic and satisfying.The Edge of Proprietary Data and AI-Powered Insights Trained on over 14 million hours of multilingual conversational data with out-of-the-box support for 14 languages, Gnani.ai's model is equipped to provide insights that elevate enterprise decision-making. This extensive data training enables accurate, context-rich responses that adapt to real-time interactions -- transforming raw data into strategic customer intelligence. "We're at a pivotal moment in AI-driven customer service," said Ganesh Gopalan, CEO of Gnani.ai. "The speech-to-speech LLM is transforming the way enterprises handle their most critical customer interactions. By combining NVIDIA accelerated computing with our conversational AI expertise, we're helping businesses achieve scale and efficiency with a business impact of over $6 billion, and that's truly revolutionary." Real-World Impact: Solving Business Challenges at Scale Gnani.ai's speech-to-speech LLM has already redefined the operational frameworks of over 150 enterprises across India and the United States. Handling 10 million calls per day with ease, the model automates routine tasks, reduces operational expenses, minimizes manual workloads, and empowers customer service teams to focus on complex, high-value interactions. In a world where customer experience is king, Gnani.ai's model offers the ultimate competitive advantage. Key Benefits for Industry Leaders Enhanced Customer Experiences Imagine customers reaching a service center, only to be met with instantaneous, natural conversations that resolve inquiries smoothly and swiftly. Gnani.ai's speech-to-speech LLM makes this possible, delivering customer interactions that feel authentic, efficient, and ready to handle complex cases without human agents' intervention.Unlocked Efficiency For industries handling high call volumes, like banking, Gnani.ai's model is efficient in handling code-switch multilingual use cases. Businesses can enjoy a leaner operation while delivering an even better customer experience.Scalability for Multilingual, Multicultural Markets Gnani.ai's model is designed for versatility, handling 14 languages out of the box, accents, and dialects with precision. This scalability makes it an ideal fit for large enterprises with diverse customer bases, from finance to healthcare, ensuring consistent quality across any demographic. Using NVIDIA accelerated computing infrastructure and the NVIDIA TensorRT-LLM optimization library, the Gnani.ai model can achieve a first token to speech latency of 250ms -- making interactions human-like.Accuracy That Eliminates Risk With cutting-edge speech recognition and natural language processing, Gnani.ai's model achieves near-perfect accuracy in transcription, call routing, and other voice-driven workflows. For industries where accuracy is critical -- such as finance -- this precision helps avoid costly errors and improve customer trust. Transforming Industries with Voice-Driven Workflows Customer Service Excellence The model empowers enterprises to automate inquiries, technical support, and order processing, transforming service experiences while reducing operational costs in high-volume environments.Healthcare Innovation For healthcare providers, the model streamlines critical workflows like appointment scheduling and patient communications, ensuring efficiency without sacrificing the personal touch that patients expect.Secure Banking and Finance With Gnani.ai's LLM, financial institutions are equipped for secure, real-time voice transactions, account inquiries, and customer support, giving customers the ease of access with the assurance of accuracy and privacy.Effortless Retail and E-commerce Retailers can enhance their customer journey by providing seamless support for orders, returns, and product inquiries through automated voice interaction, creating a superior experience at every touchpoint. About Gnani.ai Gnani.ai is a pioneer in conversational AI, specializing in advanced speech recognition, natural language processing, and voice automation technologies. With a focus on empowering enterprises to leverage AI for better customer experiences, Gnani.ai's solutions span industries, driving operational excellence and future-proofing businesses in the age of AI.

CXOToday.com

Thu, 24 Oct, 6:22 AM UTC

Create AI Voices for Any Application With Eleven Labs' New AI Voice Design Tool

Eleven Labs has introduced Voice Design, a new feature that enables users to create unique AI voices from simple text descriptions. This significant advancement in text-to-speech technology offers unprecedented precision in voice creation, catering to a wide range of applications. Voice Design is set to transform interactions with digital content, opening up exciting possibilities for creators and consumers alike. Now, you can create a voice that perfectly matches the character in your story, the tone of your podcast, or even the mood of your video game. With Eleven Labs' Voice Design, you can generate unique AI voices from basic text descriptions, providing a level of customization and precision previously unimaginable. Whether you're a content creator, a game developer, or simply curious about AI's potential, Voice Design opens up a world of creative possibilities, making it easier than ever to bring your ideas to life with the ideal voice. What truly sets Voice Design apart is its versatility and ease of use. You don't need to be a tech expert to navigate its intuitive interface and start experimenting with various vocal characteristics. From adjusting pitch and tone to fine-tuning emotional inflection, you have the power to create voices that are as diverse and realistic as you need. While the technology may sound complex, the process is designed to be straightforward, allowing you to focus on what matters most -- your creative vision. Voice Design enables you to craft diverse, realistic voices for a multitude of projects, including: The platform provides a vast library of pre-existing voices ready for immediate use. However, its true power lies in the ability to generate entirely new voices from text prompts. This feature allows you to experiment with various vocal characteristics, fine-tuning each aspect to match your creative vision precisely. Voice Design includes sophisticated settings to adjust voice stability and style, giving you granular control over the nuances of the generated voice. You can modify parameters such as: These adjustments enable the creation of voices that range from highly naturalistic to stylized and fantastical, depending on your project's requirements. Using Voice Design is designed to be straightforward and efficient, making it an ideal solution for projects with tight deadlines or those requiring rapid iteration. The intuitive interface allows for quick voice generation and modification, streamlining the creative process. While achieving highly specific voice characteristics can be challenging and may require a nuanced understanding of the tool, the flexibility and speed of voice generation make it an invaluable asset for content creators seeking unique audio elements. As you become more familiar with the platform, you'll find it easier to achieve the exact vocal qualities you're aiming for. Voice Design integrates seamlessly into existing workflows, allowing for: Below are more guides on AI voice generation from our extensive range of articles. Voice Design is particularly valuable for low-budget projects that require consistent character voices across multiple episodes or iterations. In the gaming industry, the potential for dynamic AI-generated content is especially significant. Imagine a game where characters' voices adapt in real-time to player actions, enhancing immersion and creating a truly personalized experience. This technology opens new avenues for storytelling and interaction, allowing for: The impact of Voice Design extends beyond entertainment, with potential applications in education, healthcare, and customer service. For instance, it could be used to create more engaging e-learning content or to develop voice assistants with personalities tailored to specific user demographics. The future of Voice Design and similar AI technologies is promising and rapidly evolving. Developments may extend beyond voice generation into areas like music creation and sound design. As AI continues to advance, its impact on media and content creation is expected to grow exponentially, offering new tools and opportunities for innovation. However, with great power comes great responsibility. The ability to create highly realistic artificial voices raises important ethical considerations, including: As the technology progresses, it will be crucial for developers, users, and policymakers to address these concerns and establish guidelines for responsible use. Eleven Labs' Voice Design represents a significant leap forward in AI voice generation, providing powerful tools to create customized, realistic voices for virtually any application. As AI technology continues to progress, the potential for innovation in this field appears limitless, promising exciting possibilities for the future of digital content creation and human-computer interaction.

Geeky Gadgets

Sat, 26 Oct, 2:04 PM UTC

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