update

egs/gigaspeech2/SSL/local/compute_fbank_gigaspeech2.py

@@ -30,7 +30,7 @@ torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
 
-def compute_fbank_gigaspeech():
+def compute_fbank_gigaspeech2():
     in_out_dir = Path("data/fbank")
     # number of workers in dataloader
     num_workers = 20
@@ -38,7 +38,7 @@ def compute_fbank_gigaspeech():
     # number of seconds in a batch
     batch_duration = 1000
 
-    subsets = ("L", "M", "S", "XS", "DEV", "TEST")
+    subsets = ("test",)
 
     device = torch.device("cpu")
     if torch.cuda.is_available():
@@ -48,12 +48,12 @@ def compute_fbank_gigaspeech():
     logging.info(f"device: {device}")
 
     for partition in subsets:
-        cuts_path = in_out_dir / f"gigaspeech_cuts_{partition}.jsonl.gz"
+        cuts_path = in_out_dir / f"gigaspeech2_cuts_{partition}.jsonl.gz"
         if cuts_path.is_file():
             logging.info(f"{cuts_path} exists - skipping")
             continue
 
-        raw_cuts_path = in_out_dir / f"gigaspeech_cuts_{partition}_raw.jsonl.gz"
+        raw_cuts_path = in_out_dir / f"gigaspeech2_cuts_{partition}_raw.jsonl.gz"
 
         logging.info(f"Loading {raw_cuts_path}")
         cut_set = CutSet.from_file(raw_cuts_path)
@@ -62,7 +62,7 @@ def compute_fbank_gigaspeech():
 
         cut_set = cut_set.compute_and_store_features_batch(
             extractor=extractor,
-            storage_path=f"{in_out_dir}/gigaspeech_feats_{partition}",
+            storage_path=f"{in_out_dir}/gigaspeech2_feats_{partition}",
             num_workers=num_workers,
             batch_duration=batch_duration,
             overwrite=True,
@@ -80,7 +80,7 @@ def main():
     formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
     logging.basicConfig(format=formatter, level=logging.INFO)
 
-    compute_fbank_gigaspeech()
+    compute_fbank_gigaspeech2()
 
 
 if __name__ == "__main__":

egs/gigaspeech2/SSL/local/compute_fbank_gigaspeech2_splits.py

@@ -37,12 +37,19 @@ def get_parser():
         formatter_class=argparse.ArgumentDefaultsHelpFormatter
     )
 
+    parser.add_argument(
+        "--dataset",
+        type=str,
+        required=True,
+    )
+
     parser.add_argument(
         "--num-workers",
         type=int,
         default=20,
         help="Number of dataloading workers used for reading the audio.",
     )
+
     parser.add_argument(
         "--batch-duration",
         type=float,
@@ -55,7 +62,7 @@ def get_parser():
         "--num-splits",
         type=int,
         required=True,
-        help="The number of splits of the XL subset",
+        help="The number of splits of the subset",
     )
 
     parser.add_argument(
@@ -71,12 +78,13 @@ def get_parser():
         default=-1,
         help="Stop processing pieces until this number (exclusive).",
     )
+
     return parser
 
 
-def compute_fbank_gigaspeech_splits(args):
+def compute_fbank_gigaspeech2_splits(args):
     num_splits = args.num_splits
-    output_dir = f"data/fbank/XL_split"
+    output_dir = f"data/fbank/{args.dataset}_split"
     output_dir = Path(output_dir)
     assert output_dir.exists(), f"{output_dir} does not exist!"
 
@@ -99,12 +107,14 @@ def compute_fbank_gigaspeech_splits(args):
         idx = f"{i}".zfill(num_digits)
         logging.info(f"Processing {idx}/{num_splits}")
 
-        cuts_path = output_dir / f"gigaspeech_cuts_XL.{idx}.jsonl.gz"
+        cuts_path = output_dir / f"gigaspeech2_cuts_{args.dataset}.{idx}.jsonl.gz"
         if cuts_path.is_file():
             logging.info(f"{cuts_path} exists - skipping")
             continue
 
-        raw_cuts_path = output_dir / f"gigaspeech_cuts_XL_raw.{idx}.jsonl.gz"
+        raw_cuts_path = (
+            output_dir / f"gigaspeech2_cuts_{args.dataset}_raw.{idx}.jsonl.gz"
+        )
 
         logging.info(f"Loading {raw_cuts_path}")
         cut_set = CutSet.from_file(raw_cuts_path)
@@ -113,7 +123,7 @@ def compute_fbank_gigaspeech_splits(args):
 
         cut_set = cut_set.compute_and_store_features_batch(
             extractor=extractor,
-            storage_path=f"{output_dir}/gigaspeech_feats_{idx}",
+            storage_path=f"{output_dir}/gigaspeech2_feats_{idx}",
             num_workers=args.num_workers,
             batch_duration=args.batch_duration,
             overwrite=True,
@@ -130,30 +140,14 @@ def compute_fbank_gigaspeech_splits(args):
 
 
 def main():
-    now = datetime.now()
-    date_time = now.strftime("%Y-%m-%d-%H-%M-%S")
-
-    log_filename = "log-compute_fbank_gigaspeech_splits"
     formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
-    log_filename = f"{log_filename}-{date_time}"
+    logging.basicConfig(format=formatter, level=logging.INFO)
-
-    logging.basicConfig(
-        filename=log_filename,
-        format=formatter,
-        level=logging.INFO,
-        filemode="w",
-    )
-
-    console = logging.StreamHandler()
-    console.setLevel(logging.INFO)
-    console.setFormatter(logging.Formatter(formatter))
-    logging.getLogger("").addHandler(console)
 
     parser = get_parser()
     args = parser.parse_args()
     logging.info(vars(args))
 
-    compute_fbank_gigaspeech_splits(args)
+    compute_fbank_gigaspeech2_splits(args)
 
 
 if __name__ == "__main__":

egs/gigaspeech2/SSL/local/preprocess_gigaspeech2.py

@@ -32,6 +32,13 @@ def get_args():
     parser.add_argument(
         "--lang",
         type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "--dataset",
+        type=str,
+        required=True,
     )
 
     return parser.parse_args()
@@ -89,7 +96,7 @@ def preprocess_gigaspeech2(args):
     output_dir = Path("data/fbank")
     output_dir.mkdir(exist_ok=True)
 
-    dataset_parts = ("test",)
+    dataset_parts = args.dataset.strip().split(" ", -1)
 
     logging.info("Loading manifest (may take 4 minutes)")
     manifests = read_manifests_if_cached(

egs/gigaspeech2/SSL/prepare.sh

@@ -16,6 +16,7 @@ stop_stage=5
 
 dl_dir=$PWD/download
 lang=Thai
+num_per_split=20000
 
 . shared/parse_options.sh || exit 1
 
@@ -33,6 +34,13 @@ log "Running prepare.sh"
 
 log "dl_dir: $dl_dir"
 
+subsets=""
+for dir in ${dl_dir}/GigaSpeech2/* ; do
+  subset=$(basename $dir)
+  subsets="$subsets $subset"
+done
+log "Find subsets: $subsets"
+
 if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
   log "Stage 1: Prepare GigaSpeech2 manifest, language: $lang"
   # We assume that you have downloaded the GigaSpeech2 corpus
@@ -47,16 +55,43 @@ fi
 if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
   log "State 2: Preprocess GigaSpeech2 manifest"
   if [ ! -f data/fbank/.preprocess.done ]; then
-   python3 ./local/preprocess_gigaspeech2.py --lang $lang
+   python3 ./local/preprocess_gigaspeech2.py --lang $lang --dataset "$subsets"
    touch data/fbank/.preprocess.done
   fi
 fi
 
 if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
-  log "Stage 3: Compute fbank for gigaspeech2"
+  log "Stage 3: Compute fbank for test set"
   mkdir -p data/fbank
-  if [ ! -e data/fbank/.gigaspeech2.done ]; then
+  ./local/compute_fbank_gigaspeech2.py
-    ./local/compute_fbank_gigaspeech2.py
+fi
-    touch data/fbank/.gigaspeech2.done
+
-  fi
+if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
+  log "Stage 4: Split train set into pieces"
+  for subset in $subsets; do
+    if [[ $subset != "test" ]]; then
+      log "Split subset: $subset"
+      split_dir=data/fbank/${subset}_split
+      if [ ! -f $split_dir/.split.done ]; then
+        lhotse split-lazy ./data/fbank/gigaspeech2_cuts_${subset}_raw.jsonl.gz $split_dir $num_per_split
+        touch $split_dir/.split.done
+      fi
+    fi
+  done
+fi
+
+if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
+  log "Stage 5: Compute features for train set"
+  for subset in $subsets; do
+    if [[ $subset != "test" ]]; then
+      log "Compute features for subset: $subset"
+      split_dir=data/fbank/${subset}_split
+      num_splits=$(find $split_dir -name "gigaspeech2_cuts_${subset}_raw.*.jsonl.gz" | wc -l)
+      python3 ./local/compute_fbank_gigaspeech2_splits.py \
+	--dataset $subset \
+        --num-workers 20 \
+        --batch-duration 1000 \
+        --num-splits $num_splits
+    fi
+  done
 fi