paddlespeech.vector.cluster package

Submodules

• paddlespeech.vector.cluster.diarization module
  • EmbeddingMeta
    • EmbeddingMeta.align_models()
    • EmbeddingMeta.align_segments()
    • EmbeddingMeta.center_stats()
    • EmbeddingMeta.get_mean_stats()
    • EmbeddingMeta.get_model_stat0()
    • EmbeddingMeta.get_model_stats()
    • EmbeddingMeta.get_total_covariance_stats()
    • EmbeddingMeta.norm_stats()
    • EmbeddingMeta.rotate_stats()
    • EmbeddingMeta.sum_stat_per_model()
    • EmbeddingMeta.whiten_stats()
  • SpecClustUnorm
    • SpecClustUnorm.cluster_embs()
    • SpecClustUnorm.do_spec_clust()
    • SpecClustUnorm.get_eigen_gaps()
    • SpecClustUnorm.get_laplacian()
    • SpecClustUnorm.get_sim_mat()
    • SpecClustUnorm.get_spec_embs()
    • SpecClustUnorm.p_pruning()
  • SpecCluster
    • SpecCluster.perform_sc()
  • distribute_overlap()
  • do_AHC()
  • do_spec_clustering()
  • get_oracle_num_spkrs()
  • is_overlapped()
  • merge_ssegs_same_speaker()
  • read_rttm()
  • spectral_clustering()
  • spectral_embedding()
  • write_ders_file()
  • write_rttm()
• paddlespeech.vector.cluster.plda module
  • Ndx
    • Ndx.filter()
    • Ndx.save_ndx_object()
    • Ndx.validate()
  • PLDA
    • PLDA.plda()
    • PLDA.scoring()
  • Scores
  • fa_model_loop()
  • ismember()