liugz18
2024-07-18 d80ac2fd2df4e7fb8a28acfa512bb11472b5cc99
funasr/bin/compute_audio_cmvn.py
@@ -7,7 +7,7 @@
from omegaconf import DictConfig, OmegaConf
from funasr.register import tables
from funasr.download.download_from_hub import download_model
from funasr.download.download_model_from_hub import download_model
from funasr.train_utils.set_all_random_seed import set_all_random_seed
@@ -52,7 +52,7 @@
        frontend=frontend,
        tokenizer=None,
        is_training=False,
        **kwargs.get("dataset_conf")
        **kwargs.get("dataset_conf"),
    )
    # dataloader
@@ -68,11 +68,14 @@
        dataset_train, collate_fn=dataset_train.collator, **batch_sampler_train
    )
    iter_stop = int(kwargs.get("scale", 1.0) * len(dataloader_train))
    total_frames = 0
    for batch_idx, batch in enumerate(dataloader_train):
        if batch_idx >= iter_stop:
        iter_stop = int(kwargs.get("scale", -1.0) * len(dataloader_train))
        log_step = iter_stop // 100
        if batch_idx % log_step == 0:
            logging.info(f"prcessed: {batch_idx}/{iter_stop}")
        if batch_idx >= iter_stop and iter_stop > 0.0:
            logging.info(f"prcessed: {iter_stop}/{iter_stop}")
            break
        fbank = batch["speech"].numpy()[0, :, :]