speaker_recognition_papers.md

Speaker Recognition Papers

• Dataset
  • VoxCeleb
    • Voxceleb: A Large-Scale Speaker Identification Dataset
    • Voxceleb2: Deep Speaker Recognition
    • Voxceleb: Large-Scale Speaker Verification In The Wild
  • CnCeleb
    • Cn-Celeb: A Challenging Chinese Speaker Recognition Dataset
    • Cn-Celeb: Multi-Genre Speaker Recognition
• Architecture Design
  • X-Vectors: Robust Dnn Embeddings For Speaker Recognition ( x-vector)
  • But System Description To Voxceleb Speaker Recognition Challenge 2019 (* r-vector*)
  • Rawnet: Advanced End-To-End Deep Neural Network Using Raw Waveforms For Text-Independent Speaker Verification ( RawNet)
  • Speaker Recognition From Raw Waveform With Sincnet (SincNet)
  • Ecapa-Tdnn: Emphasized Channel Attention, Propagation And Aggregation In Tdnn Based Speaker Verification ( ECAPA-TDNN)
• Optimization Objective
  • Classification Based Loss
    • Exploring The Encoding Layer And Loss Function In End-To-End Speaker And Language Recognition System
    • Angular Softmax For Short-Duration Text-Independent Speaker Verification
    • Ensemble Additive Margin Softmax For Speaker Verification
    • Margin Matters: Towards More Discriminative Deep Neural Network Embeddings For Speaker Recognition
    • Large Margin Softmax Loss For Speaker Verification
  • End-to-End Loss
    • End-To-End Text-Dependent Speaker Verification
    • End-To-End Text-Independent Speaker Verification With Triplet Loss On Short Utterances
    • Generalized End-To-End Loss For Speaker Verification
• Pooling Method
  • Attentive Statistics Pooling For Deep Speaker Embedding
  • Multi-Resolution Multi-Head Attention In Deep Speaker Embedding
  • Utterance-Level Aggregation For Speaker Recognition In The Wild
  • A Novel Learnable Dictionary Encoding Layer For End-To-End Language Identification
• Self-supervised Learning
  • Augmentation Adversarial Training For Self-Supervised Speaker Recognition
  • Self-Supervised Text-Independent Speaker Verification Using Prototypical Momentum Contrastive Learning
  • Self-Supervised Speaker Recognition With Loss-Gated Learning