The Hidden Complexities of Enterprise Voice

Speech to Text Masterclass: The Tech Behind the Modern Voice Pipeline

In this special montage episode of the Convo AI World Podcast, host Hermes Frangoudis brings together leading researchers and founders from across the speech‑to‑text space to unpack the voice pipeline from the ground up. The conversation covers how cascading architectures stack up against real‑time speech‑to‑speech systems, why Voice Activity Detection acts as the critical traffic controller, and how enterprises can eliminate model pathologies like hallucinations and omissions through modular “Lego block” integration. Guests from Deepgram, Agora, Soniox, and Rime share hard‑won lessons on achieving near‑native accuracy across 60 languages with self‑supervised learning, taming unpredictable pronunciations in LLM‑driven agents, and why truly human‑like emotional understanding is still around the corner. The episode confronts the persistent myth that speech recognition is a solved problem, spotlighting the long tail of accents, rare words, and noisy real‑world conditions that still break most systems, and makes the case that for regulated, high‑stakes industries the auditable text backbone of cascading pipelines remains essential even as speech‑to‑speech models race toward a more natural future. Check out video episodes and subscribe to the Convo AI Newsletter at convoai.world

The Hidden Complexities of Enterprise Voice

In this episode, host Rishi Ahluwalia interviews Ankur Edkie, CEO of Murf AI, about the hidden complexities of scaling enterprise voice AI. Ankur discusses the journey from pre-ChatGPT text-to-speech to building hyper-efficient, human-like voice systems. He unpacks why voice demos feel magical, but production deployments often fail, highlighting the critical gap between lab settings and the variability of real-world acoustics and devices. The conversation covers the challenges of the cascading stack (ASR, LLM, TTS), the importance of turn-taking and latency consistency over raw speed, and Murf’s "compute acquisition" approach with the Falcon architecture that drives down costs and enables global data residency. Ankur concludes with a hard lesson for builders: enterprises are buying holistic outcomes and trust, not just isolated API calls. Check out video episodes and subscribe to the Convo AI Newsletter at convoai.world

Why Developers Are Abandoning GPU Farms for APIs

In this episode, host Derek interviews Zeyi, Founder & CEO of WaveSpeedAI, about simplifying AI media generation. Zeyi explains how WaveSpeed provides a unified, high-concurrency API that lets developers easily switch between models like Flux and Wan without managing complex GPU infrastructure. He highlights unique offerings like the 10-minute lip-sync tool InfiniteTalk and video extending, discusses regional preferences in AI-generated faces, and shares cost-saving strategies like low-res generation with upscaling. The episode wraps with Zeyi's advice for AI builders: leverage AI coding tools, structure projects wisely, and use API platforms instead of optimizing models from scratch. Check out video episodes and subscribe to the Convo AI Newsletter at convoai.world

99% Isn’t Enough: How Speechmatics Is Fixing ASR

In this episode of the Convo AI World Podcast, host Hermes interviews Ricardo Herreros Symons from Speechmatics to explore the evolving landscape of speech recognition and its role as the essential gateway to "LLM magic". The conversation delves into the technical hurdles that prevent speech from being a truly "solved" problem—such as background noise, diverse accents, and specialized terminology—and why Speechmatics prioritizes diarization as a critical requirement for security and accuracy in high-stakes industries like healthcare and finance. Check out video episodes and subscribe to the Convo AI Newsletter at convoai.world

From Data to Agent: The Complete Open-Source AI Engine

In this episode of the Convo AI podcast, host Derek Zheng has an in-person conversation in Japan with Yongle Yang, Solution Architect at Dify, to explore how their LLM Ops platform is streamlining AI application development through an intuitive workflow canvas and multi-agent orchestration. Yang details Dify’s "do it for yourself" philosophy and challenges developers to build AI that can "replace" their own roles, freeing them to pursue more creative professional side hustles. Check out video episodes and subscribe to the Convo AI Newsletter at convoai.world