A world leading OEM x Neuphonic
A world leading OEM x Neuphonic
A world leading OEM x Neuphonic
Real-time TTS on device.
Real-time TTS on device.
Real-time TTS on device.
The Challenge
Cloud TTS introduced latency, infrastructure dependency, and less control over the user experience. The OEM needed a model that could run efficiently within its own hardware and operating system environment, without relying on external cloud inference or dedicated accelerator hardware.
The Challenge
Cloud TTS introduced latency, infrastructure dependency, and less control over the user experience. The OEM needed a model that could run efficiently within its own hardware and operating system environment, without relying on external cloud inference or dedicated accelerator hardware.
The Challenge
Cloud TTS introduced latency, infrastructure dependency, and less control over the user experience. The OEM needed a model that could run efficiently within its own hardware and operating system environment, without relying on external cloud inference or dedicated accelerator hardware.
Our Solution
Neuphonic adapted its efficient TTS models to run in real time on-device, using CPU-only inference. The models were optimised for the OEM's hardware and software environment, proving that high-quality speech generation could happen locally, even within strict device-level performance constraints.
The Impact
Neuphonic's models achieved real-time on-device performance and improved latency and speed compared with the OEM's internal cloud-based benchmarks. This showed that responsive voice experiences could be delivered directly on device, reducing cloud dependency while improving user experience and deployment flexibility.
The Results
Real-time TTS running locally on device
CPU-only inference without dedicated acceleration
Improved latency versus internal cloud benchmarks
Faster speech generation in constrained environments
Reduced reliance on cloud infrastructure
Stronger path toward private, responsive, on-device voice AI
Our Solution
Neuphonic adapted its efficient TTS models to run in real time on-device, using CPU-only inference. The models were optimised for the OEM's hardware and software environment, proving that high-quality speech generation could happen locally, even within strict device-level performance constraints.
The Impact
Neuphonic's models achieved real-time on-device performance and improved latency and speed compared with the OEM's internal cloud-based benchmarks. This showed that responsive voice experiences could be delivered directly on device, reducing cloud dependency while improving user experience and deployment flexibility.
The Results
Real-time TTS running locally on device
CPU-only inference without dedicated acceleration
Improved latency versus internal cloud benchmarks
Faster speech generation in constrained environments
Reduced reliance on cloud infrastructure
Stronger path toward private, responsive, on-device voice AI
Our Solution
Neuphonic adapted its efficient TTS models to run in real time on-device, using CPU-only inference. The models were optimised for the OEM's hardware and software environment, proving that high-quality speech generation could happen locally, even within strict device-level performance constraints.
The Impact
Neuphonic's models achieved real-time on-device performance and improved latency and speed compared with the OEM's internal cloud-based benchmarks. This showed that responsive voice experiences could be delivered directly on device, reducing cloud dependency while improving user experience and deployment flexibility.
The Results
Real-time TTS running locally on device
CPU-only inference without dedicated acceleration
Improved latency versus internal cloud benchmarks
Faster speech generation in constrained environments
Reduced reliance on cloud infrastructure
Stronger path toward private, responsive, on-device voice AI
Bring Neuphonic into your product.
Bring Neuphonic into your product.
Building something with voice AI? Talk to us about your use case,
deployment requirements, and how Neuphonic can fit into your stack.
Building something with voice AI? Talk to us about your use case,
deployment requirements, and how Neuphonic can fit into your stack.
Neuphonic © 2026
Neuphonic © 2026
Neuphonic © 2026