A fine-tuned Whisper tiny.en model reaches 15.9% WER on children's speech and runs in real time on a Raspberry Pi, with low-rank compression trading an 11% relative WER rise for lighter computation.
Evaluation of Low-Rank Compression All results for this section are shown in Tab.3
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Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications
A fine-tuned Whisper tiny.en model reaches 15.9% WER on children's speech and runs in real time on a Raspberry Pi, with low-rank compression trading an 11% relative WER rise for lighter computation.