disable speed perturbation by default

egs/aidatatang_200zh/ASR/local/compute_fbank_aidatatang_200zh.py

@@ -42,7 +42,7 @@ torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
 
-def compute_fbank_aidatatang_200zh(num_mel_bins: int = 80):
+def compute_fbank_aidatatang_200zh(num_mel_bins: int = 80, speed_perturb: bool = False):
     src_dir = Path("data/manifests/aidatatang_200zh")
     output_dir = Path("data/fbank")
     num_jobs = min(15, os.cpu_count())
@@ -86,9 +86,12 @@ def compute_fbank_aidatatang_200zh(num_mel_bins: int = 80):
                 supervisions=m["supervisions"],
             )
             if "train" in partition:
-                cut_set = (
+                if speed_perturb:
-                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                    cut_set = (
-                )
+                        cut_set
+                        + cut_set.perturb_speed(0.9)
+                        + cut_set.perturb_speed(1.1)
+                    )
             cut_set = cut_set.compute_and_store_features(
                 extractor=extractor,
                 storage_path=f"{output_dir}/{prefix}_feats_{partition}",
@@ -109,7 +112,12 @@ def get_args():
         default=80,
         help="""The number of mel bins for Fbank""",
     )
-
+    parser.add_argument(
+        "--speed-perturb",
+        type=bool,
+        default=False,
+        help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
+    )
     return parser.parse_args()
 
 
@@ -119,4 +127,6 @@ if __name__ == "__main__":
     logging.basicConfig(format=formatter, level=logging.INFO)
 
     args = get_args()
-    compute_fbank_aidatatang_200zh(num_mel_bins=args.num_mel_bins)
+    compute_fbank_aidatatang_200zh(
+        num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
+    )

egs/aishell/ASR/local/compute_fbank_aishell.py

@@ -42,7 +42,7 @@ torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
 
-def compute_fbank_aishell(num_mel_bins: int = 80):
+def compute_fbank_aishell(num_mel_bins: int = 80, speed_perturb: bool = False):
     src_dir = Path("data/manifests")
     output_dir = Path("data/fbank")
     num_jobs = min(15, os.cpu_count())
@@ -82,9 +82,12 @@ def compute_fbank_aishell(num_mel_bins: int = 80):
                 supervisions=m["supervisions"],
             )
             if "train" in partition:
-                cut_set = (
+                if speed_perturb:
-                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                    cut_set = (
-                )
+                        cut_set
+                        + cut_set.perturb_speed(0.9)
+                        + cut_set.perturb_speed(1.1)
+                    )
             cut_set = cut_set.compute_and_store_features(
                 extractor=extractor,
                 storage_path=f"{output_dir}/{prefix}_feats_{partition}",
@@ -104,7 +107,12 @@ def get_args():
         default=80,
         help="""The number of mel bins for Fbank""",
     )
-
+    parser.add_argument(
+        "--speed-perturb",
+        type=bool,
+        default=False,
+        help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
+    )
     return parser.parse_args()
 
 
@@ -114,4 +122,6 @@ if __name__ == "__main__":
     logging.basicConfig(format=formatter, level=logging.INFO)
 
     args = get_args()
-    compute_fbank_aishell(num_mel_bins=args.num_mel_bins)
+    compute_fbank_aishell(
+        num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
+    )

egs/aishell2/ASR/local/compute_fbank_aishell2.py

@@ -42,7 +42,7 @@ torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
 
-def compute_fbank_aishell2(num_mel_bins: int = 80):
+def compute_fbank_aishell2(num_mel_bins: int = 80, speed_perturb: bool = False):
     src_dir = Path("data/manifests")
     output_dir = Path("data/fbank")
     num_jobs = min(15, os.cpu_count())
@@ -82,9 +82,12 @@ def compute_fbank_aishell2(num_mel_bins: int = 80):
                 supervisions=m["supervisions"],
             )
             if "train" in partition:
-                cut_set = (
+                if speed_perturb:
-                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                    cut_set = (
-                )
+                        cut_set
+                        + cut_set.perturb_speed(0.9)
+                        + cut_set.perturb_speed(1.1)
+                    )
             cut_set = cut_set.compute_and_store_features(
                 extractor=extractor,
                 storage_path=f"{output_dir}/{prefix}_feats_{partition}",
@@ -104,6 +107,12 @@ def get_args():
         default=80,
         help="""The number of mel bins for Fbank""",
     )
+    parser.add_argument(
+        "--speed-perturb",
+        type=bool,
+        default=False,
+        help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
+    )
 
     return parser.parse_args()
 
@@ -114,4 +123,6 @@ if __name__ == "__main__":
     logging.basicConfig(format=formatter, level=logging.INFO)
 
     args = get_args()
-    compute_fbank_aishell2(num_mel_bins=args.num_mel_bins)
+    compute_fbank_aishell2(
+        num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
+    )

egs/aishell4/ASR/local/compute_fbank_aishell4.py

@@ -42,7 +42,7 @@ torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
 
-def compute_fbank_aishell4(num_mel_bins: int = 80):
+def compute_fbank_aishell4(num_mel_bins: int = 80, speed_perturb: bool = False):
     src_dir = Path("data/manifests/aishell4")
     output_dir = Path("data/fbank")
     num_jobs = min(15, os.cpu_count())
@@ -84,9 +84,13 @@ def compute_fbank_aishell4(num_mel_bins: int = 80):
                 supervisions=m["supervisions"],
             )
             if "train" in partition:
-                cut_set = (
+                if speed_perturb:
-                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                    cut_set = (
-                )
+                        cut_set
+                        + cut_set.perturb_speed(0.9)
+                        + cut_set.perturb_speed(1.1)
+                    )
+
             cut_set = cut_set.compute_and_store_features(
                 extractor=extractor,
                 storage_path=f"{output_dir}/{prefix}_feats_{partition}",
@@ -113,6 +117,12 @@ def get_args():
         default=80,
         help="""The number of mel bins for Fbank""",
     )
+    parser.add_argument(
+        "--speed-perturb",
+        type=bool,
+        default=False,
+        help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
+    )
 
     return parser.parse_args()
 
@@ -123,4 +133,6 @@ if __name__ == "__main__":
     logging.basicConfig(format=formatter, level=logging.INFO)
 
     args = get_args()
-    compute_fbank_aishell4(num_mel_bins=args.num_mel_bins)
+    compute_fbank_aishell4(
+        num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
+    )

egs/alimeeting/ASR/local/compute_fbank_alimeeting.py

@@ -42,7 +42,7 @@ torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
 
-def compute_fbank_alimeeting(num_mel_bins: int = 80):
+def compute_fbank_alimeeting(num_mel_bins: int = 80, speed_perturb: bool = False):
     src_dir = Path("data/manifests/alimeeting")
     output_dir = Path("data/fbank")
     num_jobs = min(15, os.cpu_count())
@@ -83,9 +83,12 @@ def compute_fbank_alimeeting(num_mel_bins: int = 80):
                 supervisions=m["supervisions"],
             )
             if "train" in partition:
-                cut_set = (
+                if speed_perturb:
-                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                    cut_set = (
-                )
+                        cut_set
+                        + cut_set.perturb_speed(0.9)
+                        + cut_set.perturb_speed(1.1)
+                    )
             cur_num_jobs = num_jobs if ex is None else 80
             cur_num_jobs = min(cur_num_jobs, len(cut_set))
 
@@ -114,6 +117,12 @@ def get_args():
         default=80,
         help="""The number of mel bins for Fbank""",
     )
+    parser.add_argument(
+        "--speed-perturb",
+        type=bool,
+        default=False,
+        help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
+    )
 
     return parser.parse_args()
 
@@ -124,4 +133,6 @@ if __name__ == "__main__":
     logging.basicConfig(format=formatter, level=logging.INFO)
 
     args = get_args()
-    compute_fbank_alimeeting(num_mel_bins=args.num_mel_bins)
+    compute_fbank_alimeeting(
+        num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
+    )

egs/wenetspeech/ASR/local/preprocess_wenetspeech.py

@@ -16,6 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import argparse
 import logging
 import re
 from pathlib import Path
@@ -45,7 +46,7 @@ def has_no_oov(
     return oov_pattern.search(sup.text) is None
 
 
-def preprocess_wenet_speech():
+def preprocess_wenet_speech(speed_perturb: bool = False):
     src_dir = Path("data/manifests")
     output_dir = Path("data/fbank")
     output_dir.mkdir(exist_ok=True)
@@ -115,15 +116,30 @@ def preprocess_wenet_speech():
                 f"Speed perturb for {partition} with factors 0.9 and 1.1 "
                 "(Perturbing may take 8 minutes and saving may take 20 minutes)"
             )
-            cut_set = cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+            if speed_perturb:
+                cut_set = (
+                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                )
         logging.info(f"Saving to {raw_cuts_path}")
         cut_set.to_file(raw_cuts_path)
 
 
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--speed-perturb",
+        type=bool,
+        default=False,
+        help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
+    )
+    return parser.parse_args()
+
+
 def main():
     setup_logger(log_filename="./log-preprocess-wenetspeech")
 
-    preprocess_wenet_speech()
+    args = get_args()
+    preprocess_wenet_speech(speed_perturb=args.speed_perturb)
     logging.info("Done")