Embedded Voice AI Development for On-Device ASR and TTS
We develop embedded voice AI for low-power devices, enabling real-time speech recognition and voice interaction directly on IoT and smart hardware.
What Is Embedded Voice AI?
Embedded Voice AI enables speech recognition and voice interaction to run directly on devices instead of the cloud, delivering lower latency, better privacy, and reliable offline operation.
ZedIoT develops embedded voice AI for IoT and smart devices, integrating on-device ASR, wake word detection, and voice control into low-power hardware platforms such as ESP32-based devices.
Voice AI Challenges We Solve on Embedded and Edge Devices
We address the key challenges of running voice AI on embedded devices, including noise robustness, limited compute, and real-time performance.
Low Recognition Accuracy in Noisy Environments
On-device voice recognition is often affected by background noise and limited compute resources.
We optimize embedded ASR pipelines for reliable performance in real-world environments.
Limited Context Understanding on Devices
Embedded devices face strict memory and processing limits. We design lightweight on-device voice pipelines that enable meaningful command handling without constant cloud connectivity.
Poor Adaptability Across Device Scenarios
Voice AI behavior varies across devices, microphones, and usage scenarios.
We tailor embedded voice AI systems to specific hardware platforms such as ESP32-based devices.
What We Offer in Embedded Voice AI Development
We provide embedded voice AI development services covering ASR, TTS, and on-device LLM integration.
Our solutions are designed for low-power hardware, enabling reliable voice interaction directly on embedded and IoT devices.
ASR Development
We develop embedded ASR systems for wake word detection and command recognition. Our solutions are optimized for accuracy, low latency, and noisy environments on edge devices.
TTS (Text-To-Speech) Services
We build on-device TTS systems for natural and responsive voice output.
Our embedded implementations deliver reliable performance with minimal latency and resource usage on edge devices.
On-Device LLM Integration
We integrate lightweight LLM capabilities into embedded voice systems to enable contextual command handling.
Our approach focuses on efficient on-device inference under strict memory and compute constraints.
Voice AI Algorithms & Signal Processing
We design embedded voice processing pipelines covering audio preprocessing, feature extraction, and inference optimization. This enables efficient speech recognition and voice interaction on resource-constrained devices.
Voice AI Device Projects We Delivered
Integration & Deployment Options
We support flexible integration and deployment options for embedded voice AI across different devices, platforms, and system architectures.
Deploy voice AI with flexible cloud-assisted or fully local control models, balancing latency, privacy, and system scalability based on device requirements.
Why Choose ZedIoT for Embedded Voice AI Development
Proven AI Expertise
10+ years of experience in embedded and edge AI development.
Comprehensive Support
End-to-end support from hardware and firmware to on-device voice AI.
Seamless Integration
Smooth integration of embedded voice AI into existing devices.
Dedicated Support
Dedicated engineering support across development and deployment.
Supporting Embedded Voice AI Projects from Concept to Deployment
Discuss your device requirements with our engineering team.
Voice AI Applications on Embedded Devices
We build practical embedded voice AI applications for real-world device interactions.
Embedded Voice Control Systems
Implement voice-based control for embedded devices, enabling hands-free operation and local command execution.
On-Device Voice Assistants
Enable local voice interaction with on-device ASR, wake word detection, and command handling.
Voice-Enabled Workstation Devices
Enable hands-free control and voice commands on embedded office and workstation devices.
More AI Development Service We Offer
Custom ESP32 Hardware & Firmware Development
We provide custom ESP32 hardware and firmware development, including PCB design, ESP-IDF firmware, wireless connectivity, and low-power optimization for production-ready devices.
AI Image Analysis and Processing
Using AI and deep learning, we provide AI platforms and ML services for image recognition and analytics solutions, delivering enterprise-level image processing and analysis software.
LLM Product Development
We develop and custom advanced products or ai applications using Large Language Models (LLMs), guiding you from concept to deployment with dedicated support at every step.