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]