Realtek Ameba RTL8730E Cortex-A32 audio streaming module offers a cost-effective solution for wireless audio applications

Stream210 module

StreamUnlimited and Realtek Semiconductor Corp have collaborated on the Stream210 audio streaming module based on the Ameba Smart RTL8730E Arm Cortex-A32 chip from the Ameba E series, with support for Wi-Fi 6, Bluetooth 5.3, and Matter for edge computing and IoT solutions. We have looked at previous Ameba IoT products, such as the Ameba RTL8722DM development board, Ameba Arduino, Ameba RTL8195AM module, and the Ameba RTL8710BN. The Ameba Smart chip is the first entry in the series to feature a Cortex-A32 processor. The Stream210 module is aimed at various audio and IoT applications, including digital radios, streaming audio receivers, wireless speakers, smart speakers, home automation products, and Wi-Fi headphones. Other wireless audio modules we’ve covered in the past include the Up2Stream Pro HiFi board, TTGO T9, and 8devices’ Tobufi module. Stream210 specifications: SoC – Ameba Smart RTL8730E dual-core Arm Cortex-A32 processor @ 1.3GHz Memory – 2Gbit RAM Storage – 2Gbit […]

GIGAIPC QBiX-ADNAN97-A1 fanless industrial PC features Intel N97 CPU, dual HDMI, dual LAN

GIGAIPC QBiX ADNAN97 A1 industrial PC

GIGAIPC QBiX-ADNAN97-A1 industrial PC is a compact system, powered by the Intel Processor N97 quad-core Alder Lake-N processor. This industrial PC supports up to 16GB of DDR5 memory and features flexible storage options with an M.2 slot for SATA or NVMe drives. Additionally, the QBiX-ADNAN97-A1 supports dual independent displays via two HDMI ports, It also offers dual Gigabit Ethernet, multiple USB 3.2 Gen 2×1 ports, an M.2 E-Key for Wi-Fi/Bluetooth expansion, and a COM port for legacy device connectivity. Designed for reliable operation, this fanless system is ideal for various Industry 4.0 applications, including industrial automation, digital signage, and edge computing. QBiX-ADNAN97-A1 industrial PC specifications SoC – Intel Processor N97 quad-core Alder Lake-N processor @ up to 3.6 GHz with 6MB Cache, Intel UHD Graphics; 12W TDP System Memory – Up to 16GB DDR5 4800 MHz via SODIMM slot Storage – M.2 2280 M-Key socket for NVMe or SATA storage Display 2x HDMI 2.0 […]

Infineon AIROC CYW20829 Bluetooth LE 5.4 MCU and module family targets industrial, consumer, and automotive applications

Infineon AIROC CYW20829 Bluetooth Low Energy 5.4 microcontrollers

Infineon has recently released the AIROC CYW20829 Bluetooth LE (Low Energy) 5.4 family which now includes SoCs and modules. These SoCs include two Cortex-M33 MCU cores: one 48 or 96 MHz application core for the peripherals, security, and system resources, and one communication core for the 2.4 GHz RF transceiver with up to 10 dBm transmit power and -98 dBm receive sensitivity. This high integration reduces bill-of-material (BOM) costs for a wide variety of applications, including PC accessories, low-energy audio, wearables, solar micro inverters, asset trackers, home automation, and others. Back in 2021, we saw Infineon release the AIROC CYW5557x family of Wi-Fi 6/6E SoCs for IoT and streaming devices with features like enhanced range and improved network efficiency. More recently,  Infineon announced the PSOC Edge E81, E83, and E84 MCU based on Cortex-M55/M33 microcontrollers. Feel free to check those out if you are looking for Infineon-specific MCUs. Infineon AIROC […]

ANAVI Dev Mic is a digital omnidirectional microphone based on Raspberry Pi RP2040 MCU (Crowdfunding)

ANAVI Dev Mic and Raspberry Pi 5

The ANAVI Dev Mic is an open-source microphone board from ANAVI Technology in Plovdiv, Bulgaria powered by the Seeed Studio XIAO RP2040 module and an omnidirectional digital microphone from STMicroelectronics. It is a compact and affordable product that outperforms USB microphones in artificial intelligence and machine learning voice applications. The design is simple and unassuming, with the Seeed Studio XIAO RP2040 module in the center, surrounded by a USB-C port for power and programming and 9 GPIO pins for extensibility. The STMicroelectronics MP23DB01HP microphone (MK1) is mounted on the top of the board with a small hole on the bottom. It is a compact, low-power, digital MEMS microphone capable of capturing sounds from different directions with very low distortion. It uses a PDM (Pulse-Density Modulation) interface created via the programmable inputs/outputs (PIO) on the RP2040. The ANAVI Dev Mic is applicable for conducting AI/ML research, building a voice recognition platform, […]

Linamp – A Raspberry Pi 4-based audio box with Winamp look and feel

Linamp audio player

Linamp is a media player box based on Raspberry Pi 4 SBC and a touchscreen display with a GUI that replicates the popular Winamp media player’s GUI that older readers may remember from the late 90s and early 2000s when it was one of the most popular music players for Windows. Rodmg found some renders of what a real Winamp player could look like online, and it inspired him to create his own. As its name implies Linamp runs on Linux (DietPi) instead of Windows, and the hardware is based on a Raspberry Pi 4, a 7.9-inch touchscreen display, a USB DAC, and various connectors and cables, all housed in a custom-designed metal enclosure and a 3D-printed front cover both designed with Onshape. Here’s the complete list of off-the-shelf items used for the build: SBC – Raspberry Pi 4 with a 32 GB microSD card, a set of passive heat […]

ReSpeaker Lite Voice Assistant Kit combines XMOS XU-316 and ESP32-S3 for advanced voice processing, Home Assistant integration

ReSpeaker Lite and Voice Assistant Kit

Seeed Studio’s ReSpeaker Lite Series includes the ReSpeaker Lite 2-Mic Array and Voice Assistant Kit, featuring the XMOS XU-316 AI sound chip for advanced voice processing and integration with Home Assistant via ESPHome. It’s perfect for smart home control with far-field voice capture and noise cancellation. The kit combines the ReSpeaker Lite dual-microphone array with the XIAO ESP32S3 module for voice recognition, noise reduction, and processing. It supports WiFi, BLE 5.0, and has a 2.4GHz rod antenna. It also offers I2S and USB connectivity for use with microcontrollers and SBCs, making it ideal for smart voice assistants and home automation. We’ve previously covered the NXP i.MX RT106F & RT106A/L, where NXP i.MX RT106A  can run voice assistant software with features like acoustic echo cancellation, ambient noise reduction, beamforming, barge-in, and playback processing. We’ve also written about other ReSpeaker boards, such as the ReSpeaker 4-Mic Array board, ReSpeaker Core board, and […]

NXP SAF9000 and SAF9100 Automotive Audio DSP bring AI to car infotainment

NXP AI Audio Proce with SAF9xxx Audio DSPs

NXP has recently launched the SAF9xxx Automotive Audio DSP family, which currently includes SAF9000 and SAF9100 AI audio DSPs. Built around Cadence’s latest generation high-performance Tensilica HiFi 5 DSPs, these new chips not only feature AI and ML capabilities, but also include features like driver’s voice pitches and accent recognition, noise cancellation, voice recognition, emergency siren detection, and more. Additionally, the SAF9000 chip includes a software-defined radio option with up to five integrated tuners (controlled by an integrated Arm Cortex-M7 core) that covers all major global broadcast radio standards, including DAB, HD Radio, DRM, CDR, and AM/FM into a single chip solution. SAF9xxx Automotive Audio DSP specifications DSP – Tensilica HiFi 5 DSPs with dedicated neural network engines Integrated Controller – Arm Cortex-M7 core for tuner and audio control middleware Radio Features (SAF9000 only) Supports AM, FM, DAB, DAB+, DMB, HD Radio, DRM for AM, DRM for FM (DRM+), CDR […]

picoLLM is a cross-platform, on-device LLM inference engine

picoLLM Raspberry Pi 5

Large Language Models (LLMs) can run locally on mini PCs or single board computers like the Raspberry Pi 5 but with limited performance due to high memory usage and bandwidth requirements. That’s why Picovoice has developed the picoLLM Inference Engine cross-platform SDK optimized for running compressed large language models on systems running Linux (x86_64), macOS (arm64, x86_64), and Windows (x86_64), Raspberry Pi OS on Pi 5 and 4, Android and iOS mobile operating systems, as well as web browsers such as Chrome, Safari, Edge, and Firefox. Alireza Kenarsari, Picovoice CEO, told CNX Software that “picoLLM is a joint effort of Picovoice deep learning researchers who developed the X-bit quantization algorithm and engineers who built the cross-platform LLM inference engine to bring any LLM to any device and control back to enterprises”. The company says picoLLM delivers better accuracy than GPTQ when using Llama-3.8B MMLU (Massive Multitask Language Understanding) as a […]

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