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TinyDenoiser: RNN-based Speech Enhancement on Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

TinyDenoiser: RNN-based Speech Enhancement on Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

EDGE AI FOUNDATION via YouTube Direct link

RNN Mapping on HW

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RNN Mapping on HW

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TinyDenoiser: RNN-based Speech Enhancement on Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

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  1. 1 Intro
  2. 2 Speech Enhancement (or Denoising)
  3. 3 RNN for Speech Enhancement
  4. 4 RISC-V MultiCore MCU Platform (GAP9)
  5. 5 RNN Mapping on HW
  6. 6 Optimizations: Double Buffering
  7. 7 Optimizations: Tensor Promotion
  8. 8 Post-Training Quantization
  9. 9 Latency & Power on target HW/SW

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