Latest news with #Deepgram
Geeky Gadgets
01-08-2025
- Business
- Geeky Gadgets
Easily Build an AI Voice Assistant to Handle Your Daily Workload
What if you could offload the chaos of your daily to-do list to a voice assistant that not only listens but genuinely understands? Picture this: you're in the middle of a hectic morning, juggling emails, meetings, and reminders, when a simple voice command takes care of it all—rescheduling appointments, organizing tasks, and even drafting emails. This isn't a futuristic fantasy; it's a reality made possible by innovative AI voice assistant. With tools like Deepgram's conversational AI API, you can build a voice agent that doesn't just respond but actively simplifies your life. The result? A smarter, more productive you, with less stress and more time to focus on what truly matters. In this guide, Prompt Engineering explains how you can create a voice agent tailored to your unique needs, whether for personal organization or professional efficiency. You'll discover how technologies like transcription, large language models (LLMs), and speech generation come together to form a seamless system that handles tasks with precision and ease. From managing your calendar to composing emails, this voice agent is designed to transform the way you approach your daily routine. By the end, you'll not only understand the potential of this technology but also feel empowered to build a tool that transforms how you work and live. After all, why settle for doing it all yourself when you can delegate to a system that's always ready to listen? Key Features of the Voice Agent The voice agent is designed to automate and simplify everyday tasks, offering features that enhance productivity and convenience. Its capabilities include: Calendar Management: Effortlessly check your schedule, reschedule meetings, and receive real-time reminders to stay on track. Effortlessly check your schedule, reschedule meetings, and receive real-time reminders to stay on track. Email Handling: Compose, send, and organize emails using intuitive voice commands, saving time and effort. Compose, send, and organize emails using intuitive voice commands, saving time and effort. Task Management: Retrieve, prioritize, and update tasks seamlessly, making sure nothing falls through the cracks. Retrieve, prioritize, and update tasks seamlessly, making sure nothing falls through the cracks. Real-Time Interaction: Engage in dynamic, conversational exchanges with interruption support for smoother and more natural interactions. These features are powered by advanced technologies that ensure accuracy, responsiveness, and ease of use, making the voice agent a reliable tool for managing your daily activities. How the Technology Works At the core of the voice agent is Deepgram's conversational AI API, which combines several innovative technologies to deliver a seamless experience: Transcription: Converts speech to text with high precision, eliminating the need for additional voice activity detection layers and making sure accurate input processing. Converts speech to text with high precision, eliminating the need for additional voice activity detection layers and making sure accurate input processing. Large Language Models (LLMs): Processes user input and generates intelligent, context-aware responses using advanced models like GPT-4 Mini or custom alternatives. Processes user input and generates intelligent, context-aware responses using advanced models like GPT-4 Mini or custom alternatives. Speech Generation: Produces natural, human-like voice outputs, allowing smooth and engaging communication. This unified system supports custom LLMs and external tools, allowing you to tailor the agent's functionality to your specific needs. By integrating these technologies, the voice agent ensures a high level of performance and adaptability. Build a Personal AI Assistant You can Talk To Watch this video on YouTube. Stay informed about the latest in Conversational AI by exploring our other resources and articles. Setting Up Your Voice Agent Getting started with the voice agent is straightforward, with a setup process designed to ensure compatibility with your workflows. Follow these steps to configure your system: Install Dependencies: Set up a virtual environment and install required libraries, such as Port Audio, to enable audio processing. Set up a virtual environment and install required libraries, such as Port Audio, to enable audio processing. Configure API Keys: Register for Deepgram's API and set up your API key to access transcription and speech generation services. Register for Deepgram's API and set up your API key to access transcription and speech generation services. Define Tools: Specify the tools and functionalities you want to integrate, such as calendar access, email management, or task tracking. Specify the tools and functionalities you want to integrate, such as calendar access, email management, or task tracking. Configure Workflows: Map out the input-output flow, where user input is processed by the LLM, tools are activated, and responses are generated as speech output. Once configured, the voice agent is ready to handle a variety of tasks with minimal effort, providing a seamless experience for both personal and professional use. Applications and Use Cases The versatility of the voice agent makes it suitable for a wide range of applications across different domains. Its adaptability allows it to cater to various needs, including: Personal Assistance: Manage your schedule, tasks, and communications effortlessly, freeing up time for other priorities. Manage your schedule, tasks, and communications effortlessly, freeing up time for other priorities. Customer Support: Provide real-time assistance and handle customer queries efficiently, improving service quality. Provide real-time assistance and handle customer queries efficiently, improving service quality. Healthcare: Streamline patient interactions and administrative tasks, such as appointment scheduling and follow-ups. Streamline patient interactions and administrative tasks, such as appointment scheduling and follow-ups. Sales and Financial Services: Automate routine processes, enhance client engagement, and improve operational efficiency. Its customizable nature allows businesses and individuals to adapt the agent to their specific needs, enhancing productivity and user satisfaction in diverse scenarios. Technical Architecture The voice agent's architecture is built on robust technical components to ensure smooth and reliable operation. These components include: Flask API: Acts as the communication bridge between the front-end interface and back-end processing, making sure seamless data flow. Acts as the communication bridge between the front-end interface and back-end processing, making sure seamless data flow. Mock Data Generation: Assists testing and UI rendering without requiring live data, allowing developers to refine the system before deployment. Assists testing and UI rendering without requiring live data, allowing developers to refine the system before deployment. Voice Customization: Offers multiple voice options and adjustable speech settings, allowing for personalized interactions that suit user preferences. These components provide a solid foundation for building a dependable and efficient voice assistant, capable of handling a variety of tasks with precision. Customization Options One of the standout features of the voice agent is its flexibility. You can customize various aspects to align with your unique requirements and preferences: LLM Selection: Choose from pre-trained models like GPT-4 Mini or integrate your own custom models to tailor the agent's responses. Choose from pre-trained models like GPT-4 Mini or integrate your own custom models to tailor the agent's responses. Tool Integration: Add external tools for specialized functionalities, such as CRM systems, analytics platforms, or other third-party applications. Add external tools for specialized functionalities, such as CRM systems, analytics platforms, or other third-party applications. Voice and Speech Settings: Adjust the tone, pitch, and style of the generated speech to create a more personalized and engaging user experience. These options empower you to create a voice agent that aligns perfectly with your specific goals and workflows, making sure maximum efficiency and satisfaction. Getting Started Ready to build your voice agent? Follow these steps to begin your journey: Set up a virtual environment and install necessary dependencies, including Port Audio, to enable audio processing capabilities. Register for Deepgram's API and configure your API key to access transcription and speech generation services. Define the tools and workflows you want to include in the agent's configuration files to tailor its functionality to your needs. Test the system using mock data to ensure proper functionality before deploying it in a live environment. Deepgram also offers a $200 credit for initial usage, making it easier to explore the platform's capabilities without upfront costs. By following these steps, you can quickly set up a voice agent that simplifies your daily tasks and enhances your productivity. Media Credit: Prompt Engineering Filed Under: AI, Guides 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.
Business Upturn
31-07-2025
- Business
- Business Upturn
Telnyx expands conversational AI stack with new audio, TTS, and integration capabilities
AUSTIN, TX, July 30, 2025 (GLOBE NEWSWIRE) — Telnyx, a global leader in communications infrastructure, today announced a wave of platform updates that enhance the core capabilities of its conversational AI stack. The release includes Azure Neural HD text-to-speech, built-in noise suppression, MCP server integration, embeddable AI Agent widgets, and robust tools for versioning and testing. These features give developers more power and flexibility to build high-quality Voice AI Agents at scale while simplifying deployment and improving audio quality across every interaction. One of the most notable updates is the addition of Microsoft Azure Neural HD voices to Telnyx's text-to-speech (TTS) lineup. These ultra-realistic voices offer expressive, human-like delivery and are trained on millions of multilingual utterances. Developers can now toggle between Telnyx-native and Azure Neural HD voices with a single parameter. With transparent, pay-as-you-go pricing and full support for bring-your-own-carrier (BYOC) routing, this update provides premium voice quality and total flexibility across voice experiences. Additionally, Telnyx has refreshed its own text-to-speech portfolio with crisper NaturalHD voices that add richer emotion, handle disfluencies such as 'um' and 'uh,' and even deliver light laughter. Developers can toggle among voice options via the AI Assistant Builder or with a single parameter in the Voice API or TeXML, keeping existing carrier routes and pay-as-you-go pricing so they can align audio quality with call intent and budget without changing their infrastructure. In parallel, Telnyx has enhanced the audio experience of its Voice AI Agents by introducing built-in noise suppression. This feature is designed to make conversations feel smoother and more lifelike, especially in real-world environments like mobile networks or shared spaces. Noise suppression filters out background sounds to ensure clarity, delivering a more engaging and professional voice experience right out of the box. Telnyx has expanded its transcription capabilities with support for Deepgram's Nova 2 and Nova 3 speech-to-text models, bringing low-latency, production-grade transcription to Voice AI Agents. With advanced accuracy in noisy environments and built-in support for over 30 multilingual voices and dialects, Deepgram enables teams to deliver faster, more natural conversations across global use cases. Voice AI Agents now support direct integration with official Model Context Protocol (MCP) servers. This significantly simplifies the process of connecting to public APIs that support the MCP standard. By removing the need for middleware or manual tooling, developers can set up integrations faster, reduce complexity, and unlock a broader range of use cases powered by third-party data and services. On the front-end, businesses can now deploy Voice AI Agents as a widget directly on their websites with a single snippet of code. The new widget functionality enables fully interactive voice agents to go live in minutes without needing additional development lift. This makes it easier than ever to add AI-powered voice support, lead capture, and automation to customer-facing experiences. Finally, Telnyx has rolled out versioning and testing tools for Voice AI Agents to help teams iterate with greater control. Developers can now create and manage multiple versions of an agent, test updates without impacting production, and safely deploy changes using A/B testing or canary releases. This update simplifies prompt engineering and provides a reliable workflow for improving agent behavior while minimizing risk, especially for high-volume or regulated deployments. With these updates, Telnyx continues to invest in a full-stack platform purpose-built for real-time conversational AI. Whether improving audio quality, simplifying integrations, enabling rapid testing, or accelerating deployment, every feature is designed to help teams launch faster and scale with confidence. These releases mark another step towards a more flexible, production-ready infrastructure for building intelligent voice experiences at scale. Experience the benefit of these features in your Voice AI Agents today at About Telnyx: Telnyx delivers global, carrier-grade communications infrastructure combined with advanced conversational AI, providing businesses with reliable, scalable, and intelligent customer interaction solutions. Organizations worldwide choose Telnyx for its robust infrastructure, intuitive tools, and unmatched support. Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same. Ahmedabad Plane Crash
Yahoo
15-07-2025
- Business
- Yahoo
Deepgram Receives 2025 Voice AI Technology Excellence Award from CUSTOMER Magazine
Deepgram's Nova-3 Honored for Combining Unmatched Accuracy, Real-Time Multilingual Transcription, and Instant Self-Serve Customization - Capabilities No Other Provider Can Deliver Together at Scale SAN FRANCISCO, July 15, 2025--(BUSINESS WIRE)--Deepgram, the leading voice AI platform for enterprise use cases, today announced that TMC, a global, integrated media company, has named its Nova-3 model a 2025 CUSTOMER magazine Voice AI Technology Excellence Award winner for setting a new standard for AI-driven speech-to-text. The Voice AI Technology Excellence Awards honor innovative solutions that harness the power of artificial intelligence (AI) to elevate voice-driven experiences, improve customer engagement, and deliver meaningful business results. Deepgram Nova-3 was recognized for setting a new standard for transcription accuracy, customization, and real-time multilingual capabilities. In particular, TMC highlighted breakthrough performance in noisy, real-world conditions (i.e., call centers, drive-thrus, and emergency response). This is thanks to innovations in acoustic modeling, audio-text alignment, and domain-specific vocabulary handling. As the first model to offer real-time transcription across multiple languages and self-serve customization via keyterm prompting (without retraining), Nova-3 makes enterprise-grade speech recognition more flexible and accessible than ever. Nova-3 also boasts an industry-leading batch word error rate (WER) of 5.26%, extending its lead over the next-best competitor by 47.4% (10% WER). This reduced error rate translates to more accurate transcriptions for industries that require high precision, such as healthcare, legal, and finance. In streaming WER, Nova-3 leads with a WER of 6.84%, extending its advantage over the next-best competitor by 54.2% (14.92% WER). This improved accuracy ensures real-time, reliable transcription for applications like call centers and virtual assistants, thereby enhancing the overall customer experience. Whether handling complex accents, mixed-language conversations, or sensitive data redaction, Nova-3 enables smarter, faster, and more accurate voice-powered applications across industries. "It gives me great pleasure to recognize Deepgram as a 2025 Voice AI Technology Excellence Award recipient," said Rich Tehrani, CEO of TMC. "Our judges were thoroughly impressed not only by the strength and features of the product, but by Deepgram's commitment to delivering world-class customer experiences." "We're honored to receive a 2025 CUSTOMER magazine Voice AI Technology Excellence Award. It's a powerful validation of the work our team has done to push the boundaries of what voice AI can deliver," said Scott Stephenson, CEO and Co-Founder, Deepgram. "The market is facing enormous pressure to deliver faster, more accurate, and more adaptive voice solutions in environments that are noisier, more complex, and more multilingual than ever before. Nova-3 rises to that challenge by combining unmatched accuracy, real-time multilingual transcription, and instant self-serve customization, which are capabilities no other provider can deliver together at scale." Winners of the 2025 Voice AI Technology Excellence Award are featured in CUSTOMER magazine, TMCnet, as well as across all TMC social media platforms. TMC's CUSTOMER Magazine TMC's CUSTOMER magazine is the industry's definitive source for news, product information, and strategies for communications that engage customers and potential customers. Each issue of CUSTOMER includes news and insights on the latest developments in agent training, analytics, ERP, IVR, social CRM solutions, mobile apps, workforce management and more. ABOUT TMC For more than 20 years, TMC has been honoring technology companies with awards in various categories. These awards are regarded as some of the most prestigious and respected awards in the communications and technology sector worldwide. Winners represent prominent players in the market who consistently demonstrate the advancement of technologies. Each recipient is a verifiable leader in the marketplace. TMC also provides global buyers with valuable insights to make informed tech decisions through our editorial platforms, live events, webinars, and online advertising. Leading vendors trust TMC, thought leadership, and our events for branding, thought leadership, and lead generation. Our live events, like the ITEXPO #TECHSUPERSHOW, deliver unmatched visibility, while our custom lead generation programs and webinars ensure a steady flow of sales opportunities. Display ads on trusted sites generate millions of impressions, boosting brand reputations. TMC offers a complete 360-degree marketing solution, from event management to content creation, driving SEO, branding, and marketing success. Learn more at and follow @tmcnet on Facebook, LinkedIn, and X. About Deepgram Deepgram is the leading voice AI platform for enterprise use cases, offering speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities, all powered by Deepgram's enterprise-grade runtime. 200,000+ developers build with Deepgram's voice-native foundational models – accessed through cloud APIs or as self-hosted / on-premises APIs – due to its unmatched accuracy, low latency, and pricing. Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram. To learn more, please visit read Deepgram's developer docs, or follow @DeepgramAI on X and LinkedIn. View source version on Contacts PR Contacts:Nicole GormanGorman Communications, for DeepgramM: Stephanie ThompsonManager, TMC Awards203-852-6800sthompson@ 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
Business Wire
15-07-2025
- Business
- Business Wire
Deepgram Receives 2025 Voice AI Technology Excellence Award from CUSTOMER Magazine
SAN FRANCISCO--(BUSINESS WIRE)-- Deepgram, the leading voice AI platform for enterprise use cases, today announced that TMC, a global, integrated media company, has named its Nova-3 model a 2025 CUSTOMER magazine Voice AI Technology Excellence Award winner for setting a new standard for AI-driven speech-to-text. Deepgram's Nova-3 Honored for Combining Unmatched Accuracy, Real-Time Multilingual Transcription, and Instant Self-Serve Customization Share The Voice AI Technology Excellence Awards honor innovative solutions that harness the power of artificial intelligence (AI) to elevate voice-driven experiences, improve customer engagement, and deliver meaningful business results. Deepgram Nova-3 was recognized for setting a new standard for transcription accuracy, customization, and real-time multilingual capabilities. In particular, TMC highlighted breakthrough performance in noisy, real-world conditions (i.e., call centers, drive-thrus, and emergency response). This is thanks to innovations in acoustic modeling, audio-text alignment, and domain-specific vocabulary handling. As the first model to offer real-time transcription across multiple languages and self-serve customization via keyterm prompting (without retraining), Nova-3 makes enterprise-grade speech recognition more flexible and accessible than ever. Nova-3 also boasts an industry-leading batch word error rate (WER) of 5.26%, extending its lead over the next-best competitor by 47.4% (10% WER). This reduced error rate translates to more accurate transcriptions for industries that require high precision, such as healthcare, legal, and finance. In streaming WER, Nova-3 leads with a WER of 6.84%, extending its advantage over the next-best competitor by 54.2% (14.92% WER). This improved accuracy ensures real-time, reliable transcription for applications like call centers and virtual assistants, thereby enhancing the overall customer experience. Whether handling complex accents, mixed-language conversations, or sensitive data redaction, Nova-3 enables smarter, faster, and more accurate voice-powered applications across industries. 'It gives me great pleasure to recognize Deepgram as a 2025 Voice AI Technology Excellence Award recipient,' said Rich Tehrani, CEO of TMC. 'Our judges were thoroughly impressed not only by the strength and features of the product, but by Deepgram's commitment to delivering world-class customer experiences.' 'We're honored to receive a 2025 CUSTOMER magazine Voice AI Technology Excellence Award. It's a powerful validation of the work our team has done to push the boundaries of what voice AI can deliver,' said Scott Stephenson, CEO and Co-Founder, Deepgram. 'The market is facing enormous pressure to deliver faster, more accurate, and more adaptive voice solutions in environments that are noisier, more complex, and more multilingual than ever before. Nova-3 rises to that challenge by combining unmatched accuracy, real-time multilingual transcription, and instant self-serve customization, which are capabilities no other provider can deliver together at scale.' Winners of the 2025 Voice AI Technology Excellence Award are featured in CUSTOMER magazine, TMCnet, as well as across all TMC social media platforms. TMC's CUSTOMER Magazine TMC's CUSTOMER magazine is the industry's definitive source for news, product information, and strategies for communications that engage customers and potential customers. Each issue of CUSTOMER includes news and insights on the latest developments in agent training, analytics, ERP, IVR, social CRM solutions, mobile apps, workforce management and more. ABOUT TMC For more than 20 years, TMC has been honoring technology companies with awards in various categories. These awards are regarded as some of the most prestigious and respected awards in the communications and technology sector worldwide. Winners represent prominent players in the market who consistently demonstrate the advancement of technologies. Each recipient is a verifiable leader in the marketplace. TMC also provides global buyers with valuable insights to make informed tech decisions through our editorial platforms, live events, webinars, and online advertising. Leading vendors trust TMC, thought leadership, and our events for branding, thought leadership, and lead generation. Our live events, like the ITEXPO #TECHSUPERSHOW, deliver unmatched visibility, while our custom lead generation programs and webinars ensure a steady flow of sales opportunities. Display ads on trusted sites generate millions of impressions, boosting brand reputations. TMC offers a complete 360-degree marketing solution, from event management to content creation, driving SEO, branding, and marketing success. Learn more at and follow @tmcnet on Facebook, LinkedIn, and X. About Deepgram Deepgram is the leading voice AI platform for enterprise use cases, offering speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities, all powered by Deepgram's enterprise-grade runtime. 200,000+ developers build with Deepgram's voice-native foundational models – accessed through cloud APIs or as self-hosted / on-premises APIs – due to its unmatched accuracy, low latency, and pricing. Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram. To learn more, please visit read Deepgram's developer docs, or follow @DeepgramAI on X and LinkedIn.
Yahoo
24-06-2025
- Business
- Yahoo
Think41 Joins India's Open-Source Movement, Makes Voice AI Platform Publicly Available
BENGALURU, India, June 24, 2025 /PRNewswire/ -- Think41, a Generative AI Services company providing voice-led experiences for global enterprise and top Silicon Valley startups, today announced the public release of its open-source Conversational AI (CAI) platform. Built for scale, speed, and realism, the platform is already powering high-stakes deployments and is now freely available to developers and enterprises worldwide. While many voice AI systems struggle with real-world complexity, Think41's production-grade stack has been battle-tested in enterprise environments. From security and compliance to workflow integration and latency, it addresses the core challenges that typically block adoption at scale. "We've solved these challenges for some of the world's most demanding organizations and now we're opening it up to the community," said Sripathi Krishnan, co-founder at Think41. "This release gives every enterprise and developer access to real-time, human-rich voice AI that works in production, not just in a demo." Backed by strategic partnerships with Microsoft, Deepgram, ElevenLabs, and the platform delivers world-class transcription, expressive voice synthesis, and seamless infrastructure integration. Designed for enterprise workflows, it supports SIP calling, live escalation, CRM sync, voice-text multimodality, and advanced security frameworks, all deployable via cloud or on-prem. The platform leverages an Agent SDK and orchestrator-led architecture, enabling modular, scalable AI systems built around specialized sub-agents, moving away from monolithic designs. Parallel guardrail agents provide real-time oversight, helping mitigate hallucination risks and ensuring transparent, controllable outcomes. With its microservices-based framework, the platform integrates smoothly into enterprise environments, offering robust data privacy and governance, critical for trusted AI adoption in large-scale deployments. To showcase what's possible, Think41 has designed its own website as a fully voice-driven interface: the Experience Center. Visitors can explore the platform's capabilities through live conversations, powered by the same stack used in real enterprise deployments. "The Experience Center is not a prototype, it's a working example of what real-time voice AI can do today," said Husain Topiwala, AI Solution Architect at Think41. "And it's just one way this technology can reshape how enterprises engage with their customers." By going open source, Think41 invites the global developer and enterprise community to build on infrastructure that's not only powerful and flexible, but already trusted at scale. With robust documentation, enterprise-grade tooling, and a growing partner ecosystem, it offers a faster path from idea to impact. Think41 is a Generative AI services and product development company based in Bengaluru, India, helping enterprises become AI-native. The company brings deep expertise in building enterprise-grade voice AI systems, from dynamic voice agents to intelligent copilots, alongside broader AI-first solutions. Its open, modular platforms enable trusted, human-centric interaction between people and technology, ready for production at scale. Try the Experience Center: the Open-Source Stack: Website: Media Contact Information: contact@ Photo - View original content to download multimedia:
