| Model Type | Speaker Identification & Verification |
|---|---|
| Framework | ONNX Runtime, OpenVINO |
| Algorithm | ECAPA-TDNN |
| Technical Details | Generates ECAPA-TDNN voice embeddings that can be compared with enrolled speaker profiles for speaker identification or one-to-one verification. |
Speaker Identification with ECAPA-TDNN
Identifies or verifies speakers from voice recordings using robust ECAPA-TDNN speaker embeddings.
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Speaker Identification with ECAPA-TDNN
app details
Resources
Use Cases
Surveillance
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
Intel Tiger Lake · OpenVINO
GPU
205.2 ms
554.6 MB
Intel Tiger Lake · OpenVINO
CPU
289 ms
528.8 MB
Intel Tiger Lake · ONNX
CPU
302.7 ms
166.3 MB
MediaTek Genio 510 · ONNX
CPU
735.7 ms
99.3 MB
NXP i.MX 8M Plus · ONNX
CPU
2039.1 ms
165.9 MB
Qualcomm QCS6490 · ONNX
CPU
845.1 ms
77.5 MB
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