ScenarioOn-Site Voice Control
A voice entry point users can interrupt, added to existing equipment; recognition runs on a local host and works offline after setup.
Acoustic & Audio AI
Hear clearly, then turn speech into text, voice and dialogue locally
Capture clear audio with AI microphones, then transcribe, synthesize speech or run an LLM on a local box. Open reference designs work out of the box.
Clear Audio
Clear speech in noisy places, with who spoke and what was said
Local Compute
Transcribe fully on-site and send only text
Tuned, Ready to Run
Tuned and benchmarked per board, open source to modify
Where this technology lands
Scenario
ScenarioWhole-Home Smart Living
All devices connect to one local Home Assistant host, and automation rules run locally.
ScenarioElderly Care Monitoring
In-room cameras detect falls on-device and send sub-second alerts; supports mic arrays for distress calls and abnormal sound detection.
ScenarioIn-Person Conversation Intelligence
Transcription runs in the cloud or on your own host; for fixed counters and windows, see "In-Store & Counter Service QA".
Reference designInterruptible Conversational Voice AI
A voice terminal that answers on the device and can be interrupted mid-answer. Listening and speaking stay local; the conversation model is either your own cloud endpoint or on-device. Runs on a reComputer RK, a reComputer J30 / J40 (Orin) or a reComputer R2000 series, with the conversation language fixed at deploy time.
ScenarioCounter Audio Capture & Analytics
Fixed-point talk is turned into structured text on site, with audio kept local. For badges worn by staff on the move, see In-Person Conversation Intelligence.
ScenarioAI Voice Warehouse Management
The Watcher understands spoken commands and identifies the operator, writing results to the built-in warehouse system or your existing ERP / WMS. Deploy in the cloud, on a local host or fully offline.
Reference designRetail Voice
Store, meeting, consultation speech becomes back-office text. Mic array and on-site transcriber, or reSpeaker Clip and phone. Names, numbers masked before storage, deletable on request.
Reference designSmart Badge Private Voice Transcription & Diarization
Sync reSpeaker Clip recordings to your own reComputer (Jetson Orin NX or RK3576) and get speaker-labelled transcripts without uploading anything to the cloud.
Reference designConversational Desktop Robot
Turn a desktop robot into a voice companion — listens, thinks, speaks, and expresses emotions in under 1 second. Works with Reachy Mini. Three deployment options: Jetson all-in-one, reComputer AI Industrial R21 with Hailo-8 NPU, or CM4 wireless.
Reference designVoice-Controlled Warehouse Management
Voice-controlled warehouse management on edge hardware — speak the transaction, MCP writes it to inventory. Five tiers, from cloud trial to a fully offline Jetson deployment.
ScenarioBuilding Energy Retrofit
LoRaWAN sensors mount on the wall, one gateway connects existing Modbus and BACnet equipment, and the data goes to an open-source dashboard or your own platform.
ScenarioBuilding Energy Management
A building energy retrofit solution prioritizing non-intrusive split-core metering and local edge control over complex BMS overhaul.
Hardware
Transcription needs only an entry compute box; a local LLM needs RK3588 with an NPU card or a Jetson. Adding an LLM does not change the microphone.
Not sure which to choose? See the full selection guide →
Device Task
What does the device need to do?
Configure your setup
Tell us whether you need transcription or conversation and what must run locally; we work out the microphone, speaker and compute box.
reSpeaker Lite dual-mic + reRouter CM4
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Lite dual-mic (desk, near-field) 1 107990273 - reRouter CM4 (local VAD · ASR) 1 110110110 - reSpeaker XVF3800 4-mic array + reComputer RK3576
硬件/物料名称 数量 型号/SKU 说明 reSpeaker XVF3800 4-mic array (on-board AEC, room coverage) 1 101991441 - reComputer RK3576 (local VAD · ASR, multi-channel) 1 100052518 - reSpeaker Clip + reComputer RK3576
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Clip (wearable, uploads via phone app) 1 100020126 - reComputer RK3576 (local VAD · ASR, multi-channel) 1 100052518 - reSpeaker Lite dual-mic
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Lite dual-mic (desk, near-field) 1 107990273 - reSpeaker XVF3800 4-mic array
硬件/物料名称 数量 型号/SKU 说明 reSpeaker XVF3800 4-mic array (on-board AEC, room coverage) 1 101991441 - reSpeaker Clip
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Clip (wearable, uploads via phone app) 1 100020126 - reSpeaker Lite dual-mic + reComputer J4012 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Lite dual-mic (desk, near-field) 1 107990273 - reComputer J4012 (local VAD · ASR · TTS · LLM) 1 110110145 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker XVF3800 4-mic array + reComputer J4012 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker XVF3800 4-mic array (on-board AEC, room coverage) 1 101991441 - reComputer J4012 (local VAD · ASR · TTS · LLM) 1 110110145 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker Flex XVF3800 + reComputer J4012 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Flex XVF3800 (split board, on-board AEC, built-in) 1 100005504 - reComputer J4012 (local VAD · ASR · TTS · LLM) 1 110110145 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker Lite dual-mic + reComputer RK3576 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Lite dual-mic (desk, near-field) 1 107990273 - reComputer RK3576 (local VAD · ASR · TTS; LLM in the cloud) 1 100052518 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker XVF3800 4-mic array + reComputer RK3576 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker XVF3800 4-mic array (on-board AEC, room coverage) 1 101991441 - reComputer RK3576 (local VAD · ASR · TTS; LLM in the cloud) 1 100052518 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker Flex XVF3800 + reComputer RK3576 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Flex XVF3800 (split board, on-board AEC, built-in) 1 100005504 - reComputer RK3576 (local VAD · ASR · TTS; LLM in the cloud) 1 100052518 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker Lite dual-mic + reRouter CM4 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Lite dual-mic (desk, near-field) 1 107990273 - reRouter CM4 (local VAD and audio relay; ASR, LLM, TTS in the cloud) 1 110110110 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker XVF3800 4-mic array + reRouter CM4 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker XVF3800 4-mic array (on-board AEC, room coverage) 1 101991441 - reRouter CM4 (local VAD and audio relay; ASR, LLM, TTS in the cloud) 1 110110110 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 - reSpeaker Flex XVF3800 + reRouter CM4 + Speaker 4Ω 5W
硬件/物料名称 数量 型号/SKU 说明 reSpeaker Flex XVF3800 (split board, on-board AEC, built-in) 1 100005504 - reRouter CM4 (local VAD and audio relay; ASR, LLM, TTS in the cloud) 1 110110110 - Speaker 4Ω 5W (JST port on the mic board, plays replies) 1 114993346 -
Architecture
AI microphone to edge host and application
The microphone picks up and cleans the audio and connects in one of three ways: USB firmware plugs into the compute box over USB; I2S firmware hands audio to a XIAO ESP32S3, which forwards it over Wi-Fi or USB; reSpeaker Clip pairs with the phone App over BLE, and the App uploads over Wi-Fi / 4G. The compute box runs whatever must stay local, the speaker plays replies, and the application receives text or voice.
Core Advantages
- Entry Start: Entry-level edge hosts handle single-stream transcription
- Smooth Upgrade: Upgrade to local LLMs for dialogue without changing mic arrays
- Strict Privacy: Fully local inference and tuned acoustics keep audio secure
| Image | Product | Form | Range | Coverage | Amp | On-board algorithms |
|---|---|---|---|---|---|---|
 | reSpeaker Lite | Desk · dual-mic | ~3m | 180° | 5W | AEC · DoA |
 | reSpeaker XVF3800 | Placed · circular quad-mic | ~5m | 360° | 5W | AEC · DoA · Multi-beam |
 | reSpeaker XVF3800 (with Case) | Placed · circular quad-mic (case) | ~5m | 360° | 5W | AEC · AGC · DoA · VAD · Multi-beam |
 | reSpeaker Clip | Wearable · dual-mic · Bluetooth to phone app | ~3m | 360° | — | Noise reduction (SpeexDSP) |
 | reSpeaker Flex Circular-4 | Split board · circular quad-mic | ~5m | 360° | 10W | AEC · DoA · Multi-beam |
 | reSpeaker Flex Linear-4 | Split board · linear quad-mic | ~5m | 180° | 10W | AEC · DoA · Multi-beam |
AI microphone
Match mic form to room, badge, or chassis
All arrays process audio on the board before it reaches the compute box. Barge-in conversation uses XVF3800 or Flex, whose on-board AEC removes the device's own playback.
Core Advantages
- Room Coverage: XVF3800 circular quad-mic handles conference rooms and spaces
- Wearable Badge: Ultra-light Clip microphone moves with staff for crisp voice
- Chassis Flex: Split-board Flex array embeds cleanly into robots and kiosks
| Image | Product | Runs locally | Fits |
|---|---|---|---|
 | reRouter CM4 Series | VAD · ASR (CPU) | Single-site transcription; local relay for cloud conversation |
 | reComputer RK3576 Series | VAD · ASR · TTS (NPU) | Multi-channel transcription (12 channels measured); Chinese/English conversation with a cloud LLM |
 | reComputer RK3588 Series | VAD · ASR · TTS; 4B–7B LLM with an NPU card | Conversation beyond Chinese/English; contact a solution expert for the NPU card |
 | reComputer J30 Series | VAD · ASR · TTS; ~2B LLM | Shares the board with vision or other AI workloads; LLM in the cloud |
 | reComputer J40 Series | VAD · ASR · TTS · 4B–7B LLM | Fully local conversation, offline after setup |
Compute box
Scale compute from entry ASR to local LLMs
Transcription needs only an entry box. The RK series runs local VAD, ASR and TTS; a local LLM needs RK3588 with an NPU expansion card or a Jetson.
Core Advantages
- Entry ASR: CM4 and RK3576 power single to multi-channel offline transcription
- Hybrid Pipeline: RK hosts run local audio while offloading heavy LLMs to cloud
- On-Device LLM: RK3588 with NPU card or Jetson powers fully offline dialogue
| Image | Product / output | Purpose | Connection | Route |
|---|---|---|---|---|
 | Mono Enclosed Speaker 4Ω 5W | Plays voice replies | JST speaker port on reSpeaker Lite / XVF3800 / Flex (on-board amp 5W / 5W / 10W) | Conversation, barge-in conversation |
| — | Transcript text | Each final transcript is uploaded to the business system | Ethernet / Wi-Fi | Transcription |
| — | LLM endpoint | Recognized text is sent to a cloud or OpenAI-compatible model API | Network | Speech local, LLM in the cloud |
Speaker & output
Audio playback for voice or text data export
The speaker connects to the microphone board, so replies and echo cancellation share one board. Text and model calls leave through the compute box network port.
Core Advantages
- On-Board Loop: Speakers wire directly to mic boards for hardware anti-howling
- Text Output: On-premise ASR sends only structured transcripts to hosts
- Cloud Isolation: Private voice stays on LAN while cloud LLMs only see text
FAQ
Using multi-microphone array hardware beamforming combined with acoustic deep-learning noise suppression, keyword spotting and speech recognition achieve over 92% accuracy under typical industrial noise with SNR above 15 dB. Directional acoustic pickup filters out background factory machinery, ventilation and environmental reverberation.
Choose capture and transcription for searchable records. Choose conversational voice AI when a device must listen, answer and be interrupted.
Yes. Local transcription and conversational pipelines can run in the deployment environment when supported by the selected hardware and software path.
Start with pickup range, language and interaction requirements, then confirm the host against the reference design and software matrix.
Yes. The Seeed devices used in this solution can be customized with your own logo, enclosure, packaging and pre-loaded firmware, and existing models can be adapted to add or drop interfaces and features. See Customization Service for scope and process, or .
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