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Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Echo Pyramid enables smart voice interaction applications on M5Stack Atom ESP32 IoT controllers

Echo Pyramid enables smart voice interaction applications on M5Stack Atom ESP32 IoT controllers

M5Stack Echo Pyramid

Designed for M5Stack Atom, AtomS3, and AtomS3R series IoT controllers based on ESP32 or ESP32-S3 wireless SoC, the Echo Pyramid base enables smart voice interaction applications such as far-field voice recognition, voice assistants, voice control, and more. The device features a built-in speaker, a MEMS microphone, an ES8311 HD audio codec for playback and capture, and an STM32 MCU for touch areas and RGB LED management. It’s powered via a USB Type-C port and can be expanded through a 4-pin connector for I2C modules. Echo Pyramid specifications: Supported IoT controllers – M5Stack Atom, AtomS3, and AtomS3R Microcontroller –  STMicro STM32G030F6P6 32-bit Arm  Cortex-M0+ CPU @ 64 MHz with 8KB SRAM, 64 KB flash Audio HD Codec – ES8311, handles playback and recording Microphone – LMA3729T381-0Y3S MEMS microphone ADC – ES7210 for microphone input Built-in speaker on the bottom of the pyramid Amplifier – AW87559 Class-D speaker driver for the speaker […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Telink ML9118A – A 32-bit RISC-V IoT module with Wi-Fi 6, Bluetooth 5.4, and 802.15.4 connectivity

Telink ML9118A – A 32-bit RISC-V IoT module with Wi-Fi 6, Bluetooth 5.4, and 802.15.4 connectivity

Telink ML9118A WiFi 6 IoT module

Telink ML9118A is a wireless IoT module with Wi-Fi 6, Bluetooth 5.4, and 802.15.4 (Zigbee/Thread/Matter) connectivity designed for smart home, smart lighting, and smart remote control applications. The module also features a 32-bit RISC-V microcontroller clocked at 160 MHz with 576KB SRAM, 4MB flash, and various peripheral interfaces such as SDIO 3.0, 19x GPIOs, I2C, SPI, UART, as well as I2S for audio. Telink ML9118A module (ML9118A-GAIA-M0-PG12) specifications: MCU – 32-bit dual-core RISC-V MCU @ 160MHz Memory – 576KB SRAM Storage – 4MB embedded flash Wireless 2.4 GHz Wi-Fi 6 IEEE 802.11 b/g/n/ax with support for DL/UL OFDMA, RX STBC, TWT, etc… Bluetooth 5.4 LE up to 2 Mbps bit rate 802.15.4 radio for Matter 1.3, Zigbee 3.0 compatible with ZHA and ZLL, Thread 2.4GHz proprietary – Supports Matter over Wi-Fi and Thread Tx Power – 15dBm @ Bluetooth LE mode Rx Sensitivity -88dBm @ 11B CCK 11Mbps -76dBm @ […]

Posted on by Debashis Das - No Comments on 2.1-channel audio HAT for Raspberry Pi features Texas Instruments TAS5825M class-D amplifier

2.1-channel audio HAT for Raspberry Pi features Texas Instruments TAS5825M class-D amplifier

Louder Raspberry Hat Plus

Previously, we wrote about the Louder Raspberry Pi, an open-source media center that integrates the Louder Raspberry Hat based on a 25W TAS5805M Class-D amplifier. Now, the developer has introduced the Louder Raspberry Hat Plus, upgrading from the TAS5805M amplifier to the more powerful TAS5825M, capable of driving up to 53W in mono (PBTL) mode while offering improved efficiency and thermal performance. The Louder Raspberry Hat Plus is compatible with all Raspberry Pi models and comes in 1X and 2X variants. The 1X version delivers up to 2×32W at 8Ω or 2×45W at 4Ω, the 2X version, on the other hand, supports 2×32W plus a dedicated 53W subwoofer channel, with bridge mode available for higher mono output. The board also integrates a DSP with 15-band parametric EQ per channel, 128-tap FIR filtering, 3-band DRC, selectable LF/HF crossovers, digital volume and gain control (32-step analog gain), selectable modulation schemes, adjustable switching […]

Posted on by Debashis Das - 1 Comment on Meterbit Pixlpal – An open-source ESP32-S3 smart display with 128×64 RGB LED matrix, Hi-Fi audio output (Crowdfunding)

Meterbit Pixlpal – An open-source ESP32-S3 smart display with 128×64 RGB LED matrix, Hi-Fi audio output (Crowdfunding)

Pixlpal SP32 S3 RGB LED Matrix Display

Designed by Meterbit Cybernetics in Nigeria, the Pixlpal is an open-source, ESP32-S3-based 11.25-inch 128×64 RGB LED matrix display designed as a customizable ticker for news, crypto, and smart home notifications, while also offering Hi-Fi audio playback. The device also includes a multi-function rotary encoder for local control, a digital MEMS microphone, and a 3.5 mm headphone output driven by a TI PCM5102A DAC for Hi-Fi audio playback. Pixlpal also provides a USB Type-C OTG port for power and programming, and a USB Type-A adapter port for firmware updates and peripherals. The device targets Smart Home dashboards, desktop information displays, and educational or maker-focused IoT applications. Pixlpal specifications: Wireless Module  – Espressif Systems ESP32-S3-WROOM-1 SoC – ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads Memory – 512KB SRAM Storage – TBD Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE PCB antenna Display – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Cadence Tensilica HiFi iQ DSP to power next-generation Voice AI and Audio applications

Cadence Tensilica HiFi iQ DSP to power next-generation Voice AI and Audio applications

Tensilica HiFi iQ DSP block diagram

Cadence Tensilica HiFi iQ DSP IP is the sixth generation of the company’s HiFi DSP family found in countless SoCs with audio features, and is based on a new architecture designed for next-generation voice AI and immersive audio applications. Compared to the Tensilica HiFi 5s DSP, the HiFi iQ DSP offers twice the compute performance, 8x higher AI performance, and more than 25% energy savings for most workloads, while delivering over 40% performance uplift on several audio codecs. The company claims it can act as an all-in-one AI processor for voice AI applications running popular SLMs and LLMs on the DSP itself. Tensilica HiFi iQ DSP key specifications: Load Units – 2 VLIW Slots – 5 Vector operations (SIMD) – 256-bit Accumulator Width – 80-bit Fixed Point MACs MACs for AI – Up to 128 16×8, up to 256 16×4 Optional instructions for AI (improved from HiFi 5s) Optional Vector […]

Posted on by Debashis Das - 1 Comment on Rockchip RK628D based HDMI-to-MIPI-CSI board converts HDMI video into camera feed for embedded systems

Rockchip RK628D based HDMI-to-MIPI-CSI board converts HDMI video into camera feed for embedded systems

Firefly HDMI to MIPI CSI adapter board

The Firefly HDMI-to-MIPI-CSI converter board converts an HDMI video and audio source into a MIPI-CSI camera stream for supported Rockchip SoCs, which is the complete opposite of the Olimex MIPI-HDMI adapter that converts MIPI DSI display signals to HDMI output. Built around the Rockchip RK628D video bridge chip, the board supports HDMI 1.4/2.0 input with 8-bit and 10-bit video, RGB888 and YUV420 color formats, and resolutions up to 4K @ 60fps. On the output side, it provides a MIPI-CSI interface compliant with MIPI D-PHY v1.2, with video output in YUV422 color format, supporting resolutions up to 4K @ 30fps. Audio output is available through a 3.5 mm headphone jack and onboard pin headers, making the board suitable for HDMI capture, smart display, micro-projector, and embedded video conversion applications. Firefly HDMI-to-MIPI-CSI board Specifications: Main Chip – Rockchip RK628D HDMI-to-MIPI CSI-2 converter Input HDMI 1.4 / HDMI 2.0 compliant 8-bit and 10-bit […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on NASP NeuroVoice VAD chip enables always-on voice activity detection at microwatt-level power consumption

NASP NeuroVoice VAD chip enables always-on voice activity detection at microwatt-level power consumption

NeuroVoice VAD Voice Activity Detection chip

POLYN Technology’s Neuromorphic Analog Signal Processor (NASP) NeuroVoice VAD is an always-on, ultra-low-power chip that detects voice in any noisy background, at microwatt-level power consumption and microsecond-scale latency. Everything happens on the chip, so no Internet is needed. Potential applications include smart remote controls, earbuds, wearables, voice access, IoT, Industry 4.0, robotics, Smart Home/Factory, mobility, and more. NASP NeuroVoice VAD chip (NV-VAD 100) specifications: Features Voice detection at ultra-low power consumption Voice passthrough – Passes voice and mutes background sounds Background signal bypass – Wake Word Detection (WWD) command to activate transparent voice bypass Speech/command intelligibility in noisy spaces – Increases voice command intelligibility for WWD/KWS (Keyword Spotting) functionality in noisy environments for Smart Home, Smart Factory, Wearables, etc. Audio Interfaces – PDM/I2S Voice delay detection – 25 ms Host interfaces – SPI/I2C used for initial configuration and status readout, VAD pin Debugging – Boundary Scan and Debug unit access […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Edgi-Talk machine learning development kit features Infineon PSOC Edge E84 Edge AI SoC (Crowdfunding)

Edgi-Talk machine learning development kit features Infineon PSOC Edge E84 Edge AI SoC (Crowdfunding)

Edgi-Talk machine learning platform

Edgi-Talk is a machine learning platform/development kit powered by an Infineon PSOC Edge E84 Arm Cortex-M55/M33 SoC featuring Arm Helium, an Arm Ethos-U55 micro NPU, and an ultra-low-power NNLite neural network accelerator, all of which enable AI/ML processing at varying power/performance levels. The devkit also comes with 128 MB PSRAM, 128MB QSPI flash, a 4.3-inch capacitive touchscreen display, two digital microphones, a speaker, WiFi 6 and Bluetooth LE 6.0 wireless connectivity, motion and environmental sensors, as well as a 40-pin Raspberry Pi header and two PMOD connectors for expansion. Edgi-Talk specifications: SoC – Infineon PSOC Edge E84 CPU Arm Cortex-M55 @ 400 MHz with FPU, MPU, Arm Helium support, 256KB i-TCM, 256KB D-TCM, and 5MB SRAM Arm Cortex-M33 @ 200 MHz with 1MB SRAM, 64KB ROM GPU – Low-power 2.5D GPU NPU – Dual architecture Arm Ethos-U55 NPU + NNLITE NPU System Memory – 128 MB PSRAM Storage 128 MB […]

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