Cadence’s Tensilica HiFi iQ DSP Features Voice AI and Audio Processing
https://www.electronics-lab.com/cadences-tensilica-hifi-iq-dsp-features-voice-ai-and-audio-processing/
The new DSP IP core improves AI and audio performance with FP8/BF16 support, enhanced SIMD processing, and lower power consumption for voice-enabled embedded systems.
M5Stack Module LLM Kit – Offline AI Inference and Voice Assistant Module with Ethernet and USB Debugging
https://www.electronics-lab.com/m5stack-module-llm-kit-offline-ai-inference-and-voice-assistant-module-with-ethernet-and-usb-debugging/
M5Stack has introduced the Module LLM Kit, a smart modular solution designed for offline AI inference and data communication in various applications, such as smart home devices, voice assistants, and industrial control systems. It integrates the Module LLM and Module 13.2 LLM Mate modules to provide efficient and intelligent interaction without relying on the cloud, […]
Espressif released the ESP-SR speech recognition library to support various ESP32 modules
https://www.electronics-lab.com/espressif-released-the-esp-sr-speech-recognition-library-to-support-various-esp32-modules/
Espressif has released the ESP-SR speech recognition framework that helps the developer to build AI speech applications based on the ESP32 or ESP32-S3 modules. The ESP-SR framework includes four modules– audio front-end (AFR), wake word engine (WakeNet), speech command word recognition (MultiNet), and speech synthesis (for the Chinese language). Audio Front-End: Espressif’s audio front-end algorithms […]
SU-10A is Offline Speech Recognition Module Dedicated to Smart Applications
https://www.electronics-lab.com/su-10a-is-offline-speech-recognition-module-dedicated-to-smart-applications/
Nowadays, almost all applications and devices provide speech recognition functionality, this makes the device look smart and user-friendly. Cloud plays an important role in integrating such features in hardware systems. But it increases the cost due to additional wireless components and complexity in the architecture of the device. Hence, an offline speech recognition feature can […]