[{"title":"( 38 个子文件 11.88MB ) Python实现的GMM用于语音识别","children":[{"title":"gmm-master","children":[{"title":"MANIFEST.in <span style='color:#111;'> 164B </span>","children":null,"spread":false},{"title":"CUDA-level Performance with Python-level Productivity for Gaussian Mixture Model Applications.pdf <span style='color:#111;'> 328.00KB </span>","children":null,"spread":false},{"title":"Fast speaker diarization using a high-level scripting language.pdf <span style='color:#111;'> 299.90KB </span>","children":null,"spread":false},{"title":"gmm_specializer","children":[{"title":"__init__.py <span style='color:#111;'> 266B </span>","children":null,"spread":false},{"title":"gmm.py <span style='color:#111;'> 39.17KB </span>","children":null,"spread":false}],"spread":true},{"title":"run_tests.sh <span style='color:#111;'> 252B </span>","children":null,"spread":false},{"title":"examples","children":[{"title":"diarizer.cfg <span style='color:#111;'> 417B </span>","children":null,"spread":false},{"title":"song_recommendation.py <span style='color:#111;'> 9.53KB </span>","children":null,"spread":false},{"title":"cluster.py <span style='color:#111;'> 18.96KB </span>","children":null,"spread":false},{"title":"plotting.py <span style='color:#111;'> 2.62KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"setup.py <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"asp_config.yml <span style='color:#111;'> 76B </span>","children":null,"spread":false},{"title":"distribute_setup.py <span style='color:#111;'> 15.39KB </span>","children":null,"spread":false},{"title":"tests","children":[{"title":"gmm_test.py <span style='color:#111;'> 8.71KB </span>","children":null,"spread":false},{"title":"speech_data.csv <span style='color:#111;'> 27.71MB </span>","children":null,"spread":false},{"title":"em_convert_from_pickle_dump_to_csv.py <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"templates","children":[{"title":"em_tbb_kernel_decl.mako <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"em_tbb_seed_components.mako <span style='color:#111;'> 338B </span>","children":null,"spread":false},{"title":"em_cuda_device_helper_funcs.mako <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"em_cilk_kernel_decl.mako <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"em_cilk_train.mako <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false},{"title":"em_cilk_eval.mako <span style='color:#111;'> 577B </span>","children":null,"spread":false},{"title":"em_cilk_kernels.mako <span style='color:#111;'> 11.36KB </span>","children":null,"spread":false},{"title":"em_cuda_host_helper_funcs.mako <span style='color:#111;'> 12.08KB </span>","children":null,"spread":false},{"title":"em_cuda_launch_decl.mako <span style='color:#111;'> 2.57KB </span>","children":null,"spread":false},{"title":"em_cilk_helper_funcs.mako <span style='color:#111;'> 7.69KB </span>","children":null,"spread":false},{"title":"em_cuda_kernels.mako <span style='color:#111;'> 52.77KB </span>","children":null,"spread":false},{"title":"em_cilk_seed_components.mako <span style='color:#111;'> 339B </span>","children":null,"spread":false},{"title":"em_cuda_eval.mako <span style='color:#111;'> 827B </span>","children":null,"spread":false},{"title":"em_tbb_kernels.mako <span style='color:#111;'> 20.07KB </span>","children":null,"spread":false},{"title":"em_cuda_train.mako <span style='color:#111;'> 6.60KB </span>","children":null,"spread":false},{"title":"em_cuda_seed_components.mako <span style='color:#111;'> 376B </span>","children":null,"spread":false},{"title":"em_tbb_helper_funcs.mako <span style='color:#111;'> 7.69KB </span>","children":null,"spread":false},{"title":"em_base_helper_funcs.mako <span style='color:#111;'> 26.83KB </span>","children":null,"spread":false},{"title":"em_tbb_eval.mako <span style='color:#111;'> 576B </span>","children":null,"spread":false},{"title":"em_tbb_train.mako <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false}],"spread":false},{"title":"README <span style='color:#111;'> 304B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]