| Model Type | Speech-to-Text |
|---|---|
| Framework | AI Edge LiteRT |
| Algorithm | Whisper |
| Technical Details | Converts audio input into text transcriptions using Whisper, supporting edge deployment for speech-driven applications and audio processing workflows. |
Speech-to-Text – Whisper
Transcribes spoken audio into text using the Whisper speech recognition model, optimized for edge inference.
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Speech-to-Text – Whisper
app details
Resources
Use Cases
NLP
Audio Monitoring
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
Intel Tiger Lake · AiEdgeLiteRT
CPU
1396.3 ms
376.3 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
2318.6 ms
114.3 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
205271.5 ms
320.7 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
205166.8 ms
301 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
11746.9 ms
383 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
2263.1 ms
102.4 MB
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