diff --git a/egs/librispeech/ASR/local/download_data.py b/egs/librispeech/ASR/local/download_data.py
deleted file mode 100755
index b9e6232fe..000000000
--- a/egs/librispeech/ASR/local/download_data.py
+++ /dev/null
@@ -1,21 +0,0 @@
-#!/usr/bin/env python3
-
-"""
-This file downloads the librispeech dataset
-to the directory data/LibriSpeech.
-
-It's compatible with kaldi's egs/librispeech/s5/local/download_and_untar.sh .
-"""
-
-
-from lhotse.recipes import download_librispeech
-
-
-def download_data():
-    target_dir = "data"
-
-    download_librispeech(target_dir=target_dir, dataset_parts="librispeech")
-
-
-if __name__ == "__main__":
-    download_data()
diff --git a/egs/librispeech/ASR/local/prepare_librispeech_manifest.py b/egs/librispeech/ASR/local/prepare_librispeech_manifest.py
deleted file mode 100755
index 357f6e6ea..000000000
--- a/egs/librispeech/ASR/local/prepare_librispeech_manifest.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python3
-
-"""
-This file generates manifests for the librispeech dataset.
-It expects the dataset is saved in data/LibriSpeech
-and the generated manifests are saved in data/manifests.
-"""
-
-import os
-from pathlib import Path
-
-from lhotse.recipes import prepare_librispeech
-
-
-def prepare_librispeech_mainfest():
-    corpus_dir = Path("data/LibriSpeech")
-    output_dir = Path("data/manifests")
-    num_jobs = min(15, os.cpu_count())
-
-    librispeech_manifests = prepare_librispeech(
-        corpus_dir=corpus_dir,
-        dataset_parts="auto",
-        output_dir=output_dir,
-        num_jobs=num_jobs,
-    )
-
-
-if __name__ == "__main__":
-    prepare_librispeech_mainfest()
diff --git a/egs/librispeech/ASR/local/prepare_musan_manifest.py b/egs/librispeech/ASR/local/prepare_musan_manifest.py
deleted file mode 100755
index 43b983979..000000000
--- a/egs/librispeech/ASR/local/prepare_musan_manifest.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/usr/bin/env python3
-
-"""
-This file generates manifests for the musan dataset.
-It expects the dataset is saved in data/musan
-and the generated manifests are saved in data/manifests.
-"""
-
-from pathlib import Path
-
-from lhotse.recipes import prepare_musan
-
-
-def prepare_musan_mainfest():
-    corpus_dir = Path("data/musan")
-    output_dir = Path("data/manifests")
-
-    prepare_musan(corpus_dir=corpus_dir, output_dir=output_dir)
-
-
-if __name__ == "__main__":
-    prepare_musan_mainfest()
diff --git a/egs/librispeech/ASR/prepare.sh b/egs/librispeech/ASR/prepare.sh
index 89ec47673..1602b9203 100755
--- a/egs/librispeech/ASR/prepare.sh
+++ b/egs/librispeech/ASR/prepare.sh
@@ -2,6 +2,7 @@
 
 set -eou pipefail
 
+nj=15
 stage=-1
 stop_stage=100
 
@@ -28,7 +29,7 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
 
   if [ ! -f data/LibriSpeech/train-other-500/.completed ]; then
     # It's compatible with kaldi's egs/librispeech/s5/local/download_and_untar.sh
-    ./local/download_data.py
+    lhotse download librispeech --full data
   fi
 
   # If you have pre-downloaded it to /path/to/musan,
@@ -36,8 +37,8 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
   #
   #   ln -s /path/to/musan data/
   #
-  if [ ! -e data/musan ]; then
-    wget https://www.openslr.org/resources/17/musan.tar.gz
+  if [ ! -f data/musan/.musan_completed ]; then
+    lhotse download musan data
   fi
 fi
 
@@ -46,7 +47,7 @@ if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
   # We assume that you have downloaded the librispeech corpus
   # to data/LibriSpeech
   mkdir -p data/manifests
-  ./local/prepare_librispeech_manifest.py
+  lhotse prepare librispeech -j $nj data/LibriSpeech data/manifests
 fi
 
 if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
@@ -54,7 +55,7 @@ if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
   # We assume that you have downloaded the musan corpus
   # to data/musan
   mkdir -p data/manifests
-  ./local/prepare_musan_manifest.py
+  lhotse prepare musan data/musan data/manifests
 fi
 
 if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then