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YAMNet for Environmental Sound Classification

Real-time environmental sound classifier optimized for low-power edge devices using MobileNet v1.

$0.00
More Information
YAMNet for Environmental Sound Classification
app details
Model Type

Environmental Audio Classification

Framework

TFLite quantized MobileNet v1

Algorithm

Quantized MobileNet v1 (AudioSet-trained)

Technical Details

YAMNet is a MobileNet v1-based deep neural network trained on Google's AudioSet. It performs audio event classification from waveform inputs. Efficient for edge use cases requiring sound awareness.

Use Cases
Forecasting and Operational Optimization
Supported IoT Devices
AI optimized hardware Fanless embedded PCs Modules
supported chipsets
Intel® Core™ i3 Qualcomm® Dragonwing QCS6490 Qualcomm® Dragonwing QCS5430 NXP i.MX 8M Plus NXP i.MX 95
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
538.48 ms
3.67 MB
CPU
SECO SOM-SMARC-iMX8Plus
1866 ms
3.67 MB
CPU
SECO SOM-SMARC-iMX95
1531 ms
3.67 MB
CPU
SECO Titan 300 TGL-UP3 AI
193.96 ms
3.67 MB
CPU
SECO SOM-SMARC-iMX8Plus
4623 ms
3.67 MB
NPU

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