| | |
| | | ) -> AbsIterFactory: |
| | | assert check_argument_types() |
| | | |
| | | if args.frontend_conf is not None and "fs" in args.frontend_conf: |
| | | dest_sample_rate = args.frontend_conf["fs"] |
| | | else: |
| | | dest_sample_rate = 16000 |
| | | if hasattr(args, "frontend_conf"): |
| | | if args.frontend_conf is not None and "fs" in args.frontend_conf: |
| | | dest_sample_rate = args.frontend_conf["fs"] |
| | | else: |
| | | dest_sample_rate = 16000 |
| | | |
| | | dataset = ESPnetDataset( |
| | | iter_options.data_path_and_name_and_type, |
| | |
| | | preprocess=iter_options.preprocess_fn, |
| | | max_cache_size=iter_options.max_cache_size, |
| | | max_cache_fd=iter_options.max_cache_fd, |
| | | <<<<<<< HEAD |
| | | dest_sample_rate=args.frontend_conf["fs"] if args.frontend_conf else 16000, |
| | | ======= |
| | | dest_sample_rate=dest_sample_rate, |
| | | >>>>>>> main |
| | | ) |
| | | cls.check_task_requirements( |
| | | dataset, args.allow_variable_data_keys, train=iter_options.train |