Nobuyuki Nishizawa

Artificial Intelligence · 2019

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 Nobuyuki Nishizawa trusts overall

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

  1. Leo Breiman
  2. David Hilton Wolpert

Papers from Nobuyuki Nishizawa's perspective

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

  1. WaveNet: A Generative Model for Raw Audio
  2. An investigation of multi-speaker training for wavenet vocoder
  3. SMOTE: Synthetic Minority Over-sampling Technique
  4. Original Contribution: Stacked generalization
  5. Multi-speaker modeling and speaker adaptation for DNN-based TTS synthesis
  6. Speaker Representations for Speaker Adaptation in Multiple Speakers' BLSTM-RNN-Based Speech Synthesis
  7. Thousands of Voices for HMM-Based Speech Synthesis–Analysis and Application of TTS Systems Built on Various ASR Corpora
  8. The Class Imbalance Problem: Significance and Strategies
  9. Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article] (IEEE Computational Intelligence Magazine)
  10. Sample Efficient Adaptive Text-to-Speech

Their papers