diff --git a/vllm/benchmarks/throughput.py b/vllm/benchmarks/throughput.py
index 6f878b275..42a8132ff 100644
--- a/vllm/benchmarks/throughput.py
+++ b/vllm/benchmarks/throughput.py
@@ -17,6 +17,7 @@ from transformers import AutoModelForCausalLM, PreTrainedTokenizerBase
 
 from vllm.benchmarks.datasets import (
     AIMODataset,
+    ASRDataset,
     BurstGPTDataset,
     ConversationDataset,
     InstructCoderDataset,
@@ -414,6 +415,12 @@ def get_requests(args, tokenizer):
             dataset_cls = AIMODataset
             common_kwargs["dataset_subset"] = None
             common_kwargs["dataset_split"] = "train"
+        elif args.dataset_path in ASRDataset.SUPPORTED_DATASET_PATHS:
+            dataset_cls = ASRDataset
+            common_kwargs["dataset_subset"] = args.hf_subset
+            common_kwargs["dataset_split"] = args.hf_split
+            sample_kwargs["asr_min_audio_len_sec"] = args.asr_min_audio_len_sec
+            sample_kwargs["asr_max_audio_len_sec"] = args.asr_max_audio_len_sec
     elif args.dataset_name == "prefix_repetition":
         dataset_cls = PrefixRepetitionRandomDataset
         sample_kwargs["prefix_len"] = args.prefix_repetition_prefix_len
@@ -557,6 +564,7 @@ def validate_args(args):
         elif args.dataset_path in (
             InstructCoderDataset.SUPPORTED_DATASET_PATHS
             | AIMODataset.SUPPORTED_DATASET_PATHS
+            | ASRDataset.SUPPORTED_DATASET_PATHS
         ):
             assert args.backend == "vllm", (
                 f"{args.dataset_path} needs to use vllm as the backend."
@@ -841,6 +849,20 @@ def add_cli_args(parser: argparse.ArgumentParser):
     add_random_dataset_base_args(parser)
     add_random_multimodal_dataset_args(parser)
 
+    # ASR dataset
+    parser.add_argument(
+        "--asr-min-audio-len-sec",
+        type=float,
+        default=0.0,
+        help="Minimum audio duration in seconds for ASR dataset filtering.",
+    )
+    parser.add_argument(
+        "--asr-max-audio-len-sec",
+        type=float,
+        default=float("inf"),
+        help="Maximum audio duration in seconds for ASR dataset filtering.",
+    )
+
     parser = AsyncEngineArgs.add_cli_args(parser)