![](https://ignitarium.com/wp-content/uploads/2024/03/vdothun-530x328x0x0x530x328x1628668657.png)
![](https://ignitarium.com/wp-content/uploads/2024/02/png-devider-234x34x0x0x234x34x1628668901.png)
Voice is the new touch. From industrial machines to consumer appliances, voice is fast becoming a dominant Human Machine Interface. Ignitarium’s Septra platform implements auditory Deep Learning algorithms to deliver ultra-optimized voice and sound analytics solutions on highly constrained edge devices. Let Septra convert your devices into highly attentive listeners.
After
Before
![](/wp-content/uploads/2024/02/gif-img-01-mob-2.jpg)
![](/wp-content/uploads/2024/02/gif-img-02-mob-1.jpg)
Key Features
- Deep learning based RNS
- Small footprint and low MIPS
- All sample rates are supported (eg. 8Khz/16Khz/48Khz)
- Search & Repair
- Works with single MIC
- Optimized for high-performance end-to-end voice pipelines
![](https://ignitarium.com/wp-content/uploads/2024/02/sound-waves-2280x548x0x0x2280x548x1628668648.jpg)
Uniqueness
![](https://ignitarium.com/wp-content/uploads/2024/02/CustomDeepNeuralNetwork-234x234x0x0x234x234x1628668642.png)
Custom Deep Neural Network
![](https://ignitarium.com/wp-content/uploads/2024/02/WorksforStationary-234x234x0x0x234x234x1628668640.png)
Works for Stationary & non-Stationary noise
![](https://ignitarium.com/wp-content/uploads/2024/02/Lowlatency-234x234x0x0x234x234x1628668644.png)
Low latency (<25 ms)
![](https://ignitarium.com/wp-content/uploads/2024/02/ScalableDesign-234x234x0x0x234x234x1628668646.png)
Scalable from MCUs to FPGAs to SoCs
Use cases
![](https://ignitarium.com/wp-content/uploads/2024/02/UseCases-CommunicationDevices-608x366x0x4x608x358x1628668431.jpg)
Septra
Communication Devices
(SmartPhone, Walkie-talkie, VOIP, wearables)
![](https://ignitarium.com/wp-content/uploads/2024/02/UseCases-Teleconferencing-608x364x0x4x608x358x1628668422.jpg)
Septra
Teleconferencing
![](https://ignitarium.com/wp-content/uploads/2024/02/UseCases-HumantoMachineCommunication-610x366x0x4x610x360x1628668424.jpg)
Septra
Human to Machine Communication
Demos
![](https://ignitarium.com/wp-content/uploads/2024/02/real-tme-noice-832x502x0x0x832x502x1628668417.png)
Real-Time Noise Suppression
over
a VOIP call
![](https://ignitarium.com/wp-content/uploads/2021/03/IGN-VCE-Sound.jpg)
Key Features
- Edge-based Voice Command recognition engine (No Internet connection required)
- Deep Learning based algorithm
- With Wake-word support
- High recognition rate in noisy environment
- Supports multiword voice commands (1 to 3 words in single command)
- Ultra low memory footprint (<38 KB RAM)
- Very low MCPS (<70 MHz on Cortex M4 CPU)
- Support for multiple languages
![Neural Network based Voice Processing Workflow](https://ignitarium.com/wp-content/uploads/2021/04/use-cases-voice-command-V2.png)
Uniqueness
![](https://ignitarium.com/wp-content/uploads/2021/03/Accuracy-150x150.png)
Accuracy
Works well in noisy environments. Coupled with our noise suppression engine, recognition rates higher than 95% are consistently achieved.
![](https://ignitarium.com/wp-content/uploads/2021/03/RequiresMinimalVoiceSamples-150x150.png)
Requires Minimal Voice Samples
Our unique audio data preparation technology expands a minimal set of original voice samples to a synthetic dataset that is orders of magnitude larger. This data preparation tool is part of user software and allows infield training.
![](https://ignitarium.com/wp-content/uploads/2021/03/EnablingTinyML-150x150.png)
Enabling “Tiny ML” class of applications
Our AI solutions are designed specifically for low-cost, low-power edge devices built using MCU, DSP and FPGA. With ultra-low memory footprint, customer applications have access to more RAM.
Use cases
![](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-SmartHome.jpg)
Septra
Smart Home
![Some vehicles](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-Automotive.jpg)
Septra
Automotive
![](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-IndustrialEquipment.jpg)
Septra
Industrial equipment
![Speakers and Headsets](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-SpeakersHeadphones.jpg)
Septra
Speakers & Headphones
![Mobile, laptop, watches](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-AudioVideoDevices.jpg)
Septra
Audio-video devices
Case Studies
Demos
![](https://ignitarium.com/wp-content/uploads/2021/03/voice-comand.png)
Voice Command Recognition on Renesas MCU
Sound Type Identification
![](https://ignitarium.com/wp-content/uploads/2021/03/Sound-Event-Detection.jpg)
IGN-SEC enables the classification of ambient sound allowing precise identification of various sound types. The underlying algorithms are accurate enough to discriminate between very similar sound types (eg. two different sirens, the bark of two different dog breeds, etc.)
Anomalous Sound Detection:
![](https://ignitarium.com/wp-content/uploads/2021/03/Equipment-Inspection.jpg)
Anomalies in operation of equipments & infrastructure can be caught early on, by analysing the sounds picked up by microphones installed on or close to the equipment. IGN-SEC then categorizes the picked-up audio as normal or abnormal, allowing early failure prediction of these machines.
Markets:
![A mechanic workshop](https://ignitarium.com/wp-content/uploads/2021/03/Automotive.jpg)
Automotive
![](https://ignitarium.com/wp-content/uploads/2021/03/Consumer-Electronics.jpg)
Consumer Electronics
![](https://ignitarium.com/wp-content/uploads/2021/03/Industrial.jpg)
Industrial
![](https://ignitarium.com/wp-content/uploads/2021/03/Surveillance.jpg)
Surveillance
After
Before
![](/wp-content/uploads/2024/02/gif-img-01-mob-2.jpg)
![](/wp-content/uploads/2024/02/gif-img-02-mob-1.jpg)
Key Features
- Deep learning based RNS
- Small footprint and low MIPS
- All sample rates are supported (eg. 8Khz/16Khz/48Khz)
- Search & Repair
- Works with single MIC
- Optimized for high-performance end-to-end voice pipelines
![](https://ignitarium.com/wp-content/uploads/2024/02/sound-waves-2280x548x0x0x2280x548x1628668648.jpg)
Uniqueness
![](https://ignitarium.com/wp-content/uploads/2024/02/CustomDeepNeuralNetwork-234x234x0x0x234x234x1628668642.png)
Custom Deep Neural Network
![](https://ignitarium.com/wp-content/uploads/2024/02/WorksforStationary-234x234x0x0x234x234x1628668640.png)
Works for Stationary & non-Stationary noise
![](https://ignitarium.com/wp-content/uploads/2024/02/Lowlatency-234x234x0x0x234x234x1628668644.png)
Low latency (<25 ms)
![](https://ignitarium.com/wp-content/uploads/2024/02/ScalableDesign-234x234x0x0x234x234x1628668646.png)
Scalable from MCUs to FPGAs to SoCs
Use cases
![](https://ignitarium.com/wp-content/uploads/2024/02/UseCases-CommunicationDevices-608x366x0x4x608x358x1628668431.jpg)
Septra
Communication Devices
(SmartPhone, Walkie-talkie, VOIP, wearables)
![](https://ignitarium.com/wp-content/uploads/2024/02/UseCases-Teleconferencing-608x364x0x4x608x358x1628668422.jpg)
Septra
Teleconferencing
![](https://ignitarium.com/wp-content/uploads/2024/02/UseCases-HumantoMachineCommunication-610x366x0x4x610x360x1628668424.jpg)
Septra
Human to Machine Communication
Demos
![](https://ignitarium.com/wp-content/uploads/2024/02/real-tme-noice-832x502x0x0x832x502x1628668417.png)
Real-Time Noise Suppression over a VOIP call
![](https://ignitarium.com/wp-content/uploads/2021/03/IGN-VCE-Sound.jpg)
Key Features
- Edge-based Voice Command recognition engine (No Internet connection required)
- Deep Learning based algorithm
- With Wake-word support
- High recognition rate in noisy environment
- Supports multiword voice commands (1 to 3 words in single command)
- Ultra low memory footprint (<38 KB RAM)
- Very low MCPS (<70 MHz on Cortex M4 CPU)
- Support for multiple languages
![Neural Network based Voice Processing Workflow](https://ignitarium.com/wp-content/uploads/2021/04/use-cases-voice-command-V2.png)
Uniqueness
![](https://ignitarium.com/wp-content/uploads/2021/03/Accuracy-150x150.png)
Accuracy
Works well in noisy environments. Coupled with our noise suppression engine, recognition rates higher than 95% are consistently achieved.
![](https://ignitarium.com/wp-content/uploads/2021/03/RequiresMinimalVoiceSamples-150x150.png)
Requires Minimal Voice Samples
Our unique audio data preparation technology expands a minimal set of original voice samples to a synthetic dataset that is orders of magnitude larger. This data preparation tool is part of user software and allows infield training.
![](https://ignitarium.com/wp-content/uploads/2021/03/EnablingTinyML-150x150.png)
Enabling “Tiny ML” class of applications
Our AI solutions are designed specifically for low-cost, low-power edge devices built using MCU, DSP and FPGA. With ultra-low memory footprint, customer applications have access to more RAM.
Use cases
![](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-SmartHome.jpg)
Septra
Smart Home
![Some vehicles](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-Automotive.jpg)
Septra
Automotive
![](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-IndustrialEquipment.jpg)
Septra
Industrial equipment
![Speakers and Headsets](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-SpeakersHeadphones.jpg)
Septra
Speakers & Headphones
![Mobile, laptop, watches](https://ignitarium.com/wp-content/uploads/2021/03/UseCases-AudioVideoDevices.jpg)
Septra
Audio-video devices
Demos
![](https://ignitarium.com/wp-content/uploads/2021/03/voice-comand.png)
Voice Command Recognition on Renesas MCU
Sound Type Identification
![](https://ignitarium.com/wp-content/uploads/2021/03/Sound-Event-Detection.jpg)
IGN-SEC enables the classification of ambient sound allowing precise identification of various sound types. The underlying algorithms are accurate enough to discriminate between very similar sound types (eg. two different sirens, the bark of two different dog breeds, etc.)
Anomalous Sound Detection:
![](https://ignitarium.com/wp-content/uploads/2021/03/Equipment-Inspection.jpg)
Anomalies in operation of equipments & infrastructure can be caught early on, by analysing the sounds picked up by microphones installed on or close to the equipment. IGN-SEC then categorizes the picked-up audio as normal or abnormal, allowing early failure prediction of these machines.
Markets:
![A mechanic workshop](https://ignitarium.com/wp-content/uploads/2021/03/Automotive.jpg)
Automotive
![](https://ignitarium.com/wp-content/uploads/2021/03/Consumer-Electronics.jpg)
Consumer Electronics
![](https://ignitarium.com/wp-content/uploads/2021/03/Industrial.jpg)
Industrial
![](https://ignitarium.com/wp-content/uploads/2021/03/Surveillance.jpg)