Mitchell McLaren

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Mitchell McLaren trusts overall

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

  1. Pavel Matejka
  2. Florin Curelaru
  3. Daniel Povey
  4. David Snyder
  5. Chanwoo Kim
  6. Ondrej Glembek
  7. Niko Brummer
  8. Jason W. Pelecanos
  9. Patrick Kenny
  10. Jeff Z. Ma

Who trusts Mitchell McLaren overall

  1. Joon Son Chung
  2. Arsha Nagrani
  3. Zhongxin Bai
  4. David Snyder
  5. Koji Okabe
  6. Daniel Garcia-Romero
  7. Raymond W. M. Ng
  8. Xiao-Lei Zhang
  9. Andrew Zisserman
  10. Mirco Ravanelli

Papers from Mitchell McLaren's perspective

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

  1. Speaker Verification Using Adapted Gaussian Mixture Models
  2. A Study of Interspeaker Variability in Speaker Verification (IEEE Transactions on Audio, Speech, and Language Processing)
  3. The Kaldi Speech Recognition Toolkit
  4. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
  5. X-Vectors: Robust DNN Embeddings for Speaker Recognition
  6. Front-End Factor Analysis For Speaker Verification
  7. Neural Network Bottleneck Features for Language Identification
  8. Deep Neural Network Embeddings for Text-Independent Speaker Verification
  9. Feature warping for robust speaker verification (The Speaker and Language Recognition Workshop)
  10. Deep neural network-based speaker embeddings for end-to-end speaker verification

Their papers