Blog

The biggest challenge in AI audio

The biggest challenge in AI audio isn't training the model. It's deployment under real-world constraints, where latency, power, and usability collide. It's a gap the industry is only beginning to notice.

Switchboard gives developers modular building blocks (think: LEGO for audio) to create innovative real-time experiences that can combine music, voice, AI, effects, and more—without reinventing the wheel.

Voice Interfaces in 2025

Voice interfaces have rapidly evolved in 2025, moving from novelty to necessity across consumer and enterprise applications. This post explores the technological breakthroughs, UX challenges, and shifting user expectations shaping this transformation.

Shifting Landscape of AI

AI progress is shifting from model capability to economic viability. Discover why the real challenge isn’t intelligence, but building affordable, continuous architectures that scale beyond the demo.

While most apps run fine on modern languages, real-time audio and AI demand the precision of C++. Learn why continuous, multi-stream systems require low-level control to prevent glitches and lag.

Edge AI is becoming the default, reducing latency, cost, and privacy risks. For voice systems, edge-first architectures deliver faster, more reliable experiences than cloud-only approaches.

As AI demand outpaces memory supply, cloud apps grow costlier and less reliable. On-device AI keeps core features running when remote infrastructure falters.

Human–Machine Interaction

Most conversations about Voice AI focus on the future of Human–Machine Interaction. The real impact of Voice AI will be how machines quietly reshape how we talk to each other.

Audio AI powers modern voice experiences, but turning breakthroughs into products is hard. Behind “speech in, speech out” lies a gap between research and real-time engineering.

Cloud-based audio AI brought us speech recognition, conversational AI agents, and more. But as usage grows beyond proofs of concept, the weaknesses of the cloud have become glaring.

Shared experiences online often fail because timing doesn’t align. AI agents will bridge that gap, detecting availability and using voice to spark spontaneous, real-time connection.

AI Codegen

AI Codegen is no longer experimental. The teams that adopt disciplined workflows around it are already pulling ahead, while everyone else is falling behind.

One of the most fascinating applications of AI is humanoid robots. As audio specialists, we're particularly interested in the audio systems onboard, and these systems are evolving rapidly. Figure AI’s Helix model represents a shift in both humanoid robot capabilities and how audio is handled.

The real frontier for AI is no longer the models themselves but the systems that integrate them. It’s on the inference side. The opportunity lies in the hands of those who can design, build, and deploy systems, applications, and novel use cases that unlock the true potential of these models.

Tech Hiring Landscape

AI is reshaping the tech hiring landscape, but the Roy Lee story shows that the real failure often lies with interviewers who stop asking questions too soon. This piece argues that while AI can support better interviews, it’s human curiosity and conversation that reveal whether a candidate can actually do the job.

While "vibe coding" can be practical for prototyping and creative exploration, it can be disastrous when building complex, real-time systems—particularly in fields like audio processing, where precision, performance, and reliability are paramount.

Collaboration Technologies

Tools like SyncStage and Meloscene solve latency issues, enabling real-time remote music and audio creation. They’re redefining collaboration, making virtual studios as effective as in-person sessions.

Telcos can use AI and device data to offer “Presence as a Service,” providing real-time status updates like availability or activity. With robust privacy controls, this service could revolutionize communication, helping telcos compete with big tech by enhancing connection and convenience.

AI-powered voice assistants can replace companion apps, solving app fatigue by enabling natural, spoken commands for hardware. This shift lets manufacturers focus on voice integration over app interfaces, delivering intuitive, hands-free control for users.

Transforming Accessibility and Manufacturing

Platforms like Cartesia and ElevenLabs transform Text-to-Speech with lifelike voices. Integrated with Switchboard, TTS powers dynamic audio for gaming, accessibility, and more.

Acoustic anomaly detection (AAD) uses AI and microphones to monitor machinery sounds and detect issues early. It’s transforming manufacturing, pipelines, and wind farms with non-invasive, cost-efficient, real-time alerts, enabling proactive maintenance and reducing downtime.

AI now solves early challenges like noise, privacy, and user fatigue, making always-on connections seamless and intuitive. Switchboard 1.0’s vision is closer than ever to becoming effortless, natural communication.

Deskless workers need smarter tools. Innovations like Zinc and Switchboard enable AI-powered, hands-free communication with noise suppression and task integration. Always-on connectivity ensures safety and efficiency, transforming how these workers stay connected.

Enhancing User Experience

Combine music and conversation during workouts with Switchboard. Whether cycling at home, running outdoors, or hiking with friends, share playlists and talk seamlessly through your headphones.

Meta’s AR glasses and AI-powered tools are paving the way for the metaverse. Wearables and spatial audio will transform digital interaction, blending virtual and real-world experiences seamlessly.

AI-driven tools analyze sounds like coughs, heartbeats, and baby cries to diagnose illnesses non-invasively. These technologies are transforming healthcare with accessible, privacy-conscious solutions.

As cars go autonomous, interiors are becoming entertainment hubs with advanced infotainment systems like Tesla’s PS5-level setups. Companies like Synervoz are driving this shift with real-time audio solutions tailored for dynamic, multi-sensory travel.

Wearables like Meta Glasses, Bose AR, and Jony Ive’s Humane Pin highlight audio’s central role in AR innovation. With AI-driven voice interaction, these devices will redefine communication.

Slack could evolve with interactive channels, spatial audio, and virtual rooms to bridge the remote-work gap. Insights from Switchboard 1.0 show these features can make teams feel truly connected.

Real-Time Collaboration

A podcast app with real-time voice mixing would let friends chat over shared audio seamlessly. With Switchboard SDK, developers can build tailored experiences faster than ever.

In-game voice chat needs tools like Vivox for communication and WWise for sound design, but integration can be tricky. Solving issues like noise and performance is key to immersive gaming.

As tech advances, integrating mesh networking, voice assistants, and selective transparency features will be key for safer, seamless communication on the road.

With advances in open collaboration and consolidation across devices, the future of watch parties looks promising, enabling more immersive and accessible shared media experiences.

This article explores the technology driving high-quality listen parties, from precise music synchronization and collaborative playlists to smart audio mixing.

AI personas are set to transform social voice and video calls, acting as digital companions who can joke, settle disputes, and help plan events.

Discover how AI agents are transforming B2B customer service and virtual collaboration.

AI leadership isn’t won by dominating benchmarks—it’s won by shaping user behavior.

Future of Audio Technology

In a world where we talk to our devices instead of type into them, flexible audio graphs are becoming increasingly important.

Announcing our Fusion business, which leverages the power of AI Agents by customizing them and connecting them with business processes.

AI Agents are a rapidly evolving opportunity, but solutions are not one size fits all. A flexible audio graph provides business flexibility.

Audio developers, you don’t have to build your own SDK. Switchboard is your SDK.

Switchboard is the Unity / Unreal of audio engine development.

In robotics, audio processing plays an important role in enabling machines to interact with their environment in more human-like ways.

Jim Rand, CEO of Synervoz, sits down with coLAB to talk about our history and marketing.

Audio programming mistakes can produce very interesting sounds. In this talk we are going to look at these mistakes and even listen to them.

Amazon’s Interactive Video Service (IVS) is a managed live streaming service for live streaming video and audio at scale. But what if you want to do more with that audio on a device?

In this video tutorial, Synervoz VP of Engineering Balazs Kiss shows viewers step-by-step instructions for how to build a simple guitar-effect app for iOS using the Switchboard SDK.

In a recent presentation at ADCx, Kieran Coulter, Senior Engineer and Lead Architect at Synervoz, delves into neural audio digital signal processing (DSP).

In recent years, the digital landscape has witnessed a remarkable surge in social audio apps, revolutionizing the way people connect and communicate.

In recent years, the fields of artificial intelligence (AI) and machine learning (ML) have made significant strides in revolutionizing various industries, and the domain of audio is no exception.

In today's digital era, voice and video chat have become indispensable tools for communication, collaboration, and entertainment.

Audio software engineering is an intricate field that combines technical expertise, creative problem-solving, and a passion for delivering exceptional auditory experiences.