Purvi Agrawal

Signal Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Purvi Agrawal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sam T. Roweis
  2. Naoya Takahashi

Who trusts Purvi Agrawal overall

  1. Hyeong-Seok Choi
  2. Dacheng Yin

Papers from Purvi Agrawal's perspective

Ordered by how strongly the researchers Purvi Agrawal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. WaveNet: A Generative Model for Raw Audio
  2. Pixel Recurrent Neural Networks
  3. Signal estimation from modified short-time Fourier transform
  4. The importance of phase in speech enhancement
  5. Complex Ratio Masking for Monaural Speech Separation
  6. Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction
  7. One Microphone Source Separation
  8. Perceptual phase quantization of speech
  9. Multi-Scale multi-band densenets for audio source separation
  10. Speech analysis/Synthesis based on a sinusoidal representation

Their papers