lid_inference.py
Less than 1 minute
lid_inference.py
speaker embedding extraction
usage: lid_inference.py [-h] [--config CONFIG] [--log_level {CRITICAL,ERROR,WARNING,INFO,DEBUG,NOTSET}] --output_dir OUTPUT_DIR
[--ngpu NGPU] [--seed SEED] [--dtype {float16,float32,float64}] [--num_workers NUM_WORKERS]
--data_path_and_name_and_type DATA_PATH_AND_NAME_AND_TYPE [--shape_file SHAPE_FILE]
[--train_dtype {float16,float32,float64}] [--lid_train_config LID_TRAIN_CONFIG] [--lid_model_file LID_MODEL_FILE]
[--extract_embd EXTRACT_EMBD] [--save_embd_per_utt SAVE_EMBD_PER_UTT] [--save_embd_avg_lang SAVE_EMBD_AVG_LANG]
[--save_tsne_plot SAVE_TSNE_PLOT] [--dist_backend DIST_BACKEND] [--dist_init_method DIST_INIT_METHOD]
[--dist_world_size DIST_WORLD_SIZE] [--dist_rank DIST_RANK] [--local_rank LOCAL_RANK]
[--dist_master_addr DIST_MASTER_ADDR] [--dist_master_port DIST_MASTER_PORT] [--dist_launcher {slurm,mpi,None}]
[--init_param INIT_PARAM] [--multiprocessing_distributed MULTIPROCESSING_DISTRIBUTED]
[--unused_parameters UNUSED_PARAMETERS] [--sharded_ddp SHARDED_DDP] [--use_matplotlib USE_MATPLOTLIB]
[--use_tensorboard USE_TENSORBOARD] [--create_graph_in_tensorboard CREATE_GRAPH_IN_TENSORBOARD]
[--use_wandb USE_WANDB] [--wandb_project WANDB_PROJECT] [--wandb_id WANDB_ID] [--wandb_entity WANDB_ENTITY]
[--wandb_name WANDB_NAME] [--wandb_model_log_interval WANDB_MODEL_LOG_INTERVAL] [--detect_anomaly DETECT_ANOMALY]
[--use_lora USE_LORA] [--save_lora_only SAVE_LORA_ONLY] [--lora_conf LORA_CONF] [--cudnn_enabled CUDNN_ENABLED]
[--cudnn_benchmark CUDNN_BENCHMARK] [--cudnn_deterministic CUDNN_DETERMINISTIC]
[--valid_batch_size VALID_BATCH_SIZE] [--fix_duration FIX_DURATION] [--target_duration TARGET_DURATION]
[--fold_length FOLD_LENGTH] [--use_preprocessor USE_PREPROCESSOR] [--checkpoint_interval CHECKPOINT_INTERVAL]
[--resume RESUME] [--max_utt_per_lang_for_tsne MAX_UTT_PER_LANG_FOR_TSNE] [--perplexity PERPLEXITY]
[--max_iter MAX_ITER]