From e9ae9ba54c8dfd2a9ffd0ad9ce2d89e5eb9fbfa2 Mon Sep 17 00:00:00 2001
From: Ryan Langman <rlangman@nvidia.com>
Date: Fri, 5 May 2023 08:32:27 -0700
Subject: [PATCH] [TTS] Add script for mapping speaker names to indices (#6509)

Signed-off-by: Ryan <rlangman@nvidia.com>
---
 .../tts/create_speaker_map.py                 | 95 +++++++++++++++++++
 1 file changed, 95 insertions(+)
 create mode 100644 scripts/dataset_processing/tts/create_speaker_map.py

diff --git a/scripts/dataset_processing/tts/create_speaker_map.py b/scripts/dataset_processing/tts/create_speaker_map.py
new file mode 100644
index 000000000000..027a5c6e3e35
--- /dev/null
+++ b/scripts/dataset_processing/tts/create_speaker_map.py
@@ -0,0 +1,95 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+This script takes a list of TTS manifests and creates a JSON mapping the input speaker names to
+unique indices for multi-speaker TTS training.
+
+To ensure that speaker names are unique across datasets, it is recommended that you prepend the speaker
+names in your manifest with the name of the dataset.
+
+$ python <nemo_root_path>/scripts/dataset_processing/tts/create_speaker_map.py \
+    --manifest_path=manifest1.json \
+    --manifest_path=manifest2.json \
+    --speaker_map_path=speakers.json
+
+Example output:
+
+{
+    "vctk_p225": 0,
+    "vctk_p226": 1,
+    "vctk_p227": 2,
+    ...
+}
+
+"""
+
+import argparse
+import json
+from pathlib import Path
+
+from nemo.collections.asr.parts.utils.manifest_utils import read_manifest
+
+
+def get_args():
+    parser = argparse.ArgumentParser(
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+        description="Create mapping from speaker names to numerical speaker indices.",
+    )
+    parser.add_argument(
+        "--manifest_path", required=True, type=Path, action="append", help="Path to training manifest(s).",
+    )
+    parser.add_argument(
+        "--speaker_map_path", required=True, type=Path, help="Path for output speaker index JSON",
+    )
+    parser.add_argument(
+        "--overwrite", default=False, type=bool, help="Whether to overwrite the output speaker file if it exists.",
+    )
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+    manifest_paths = args.manifest_path
+    speaker_map_path = args.speaker_map_path
+    overwrite = args.overwrite
+
+    for manifest_path in manifest_paths:
+        if not manifest_path.exists():
+            raise ValueError(f"Manifest {manifest_path} does not exist.")
+
+    if speaker_map_path.exists():
+        if overwrite:
+            print(f"Will overwrite existing speaker path: {speaker_map_path}")
+        else:
+            raise ValueError(f"Speaker path already exists: {speaker_map_path}")
+
+    speaker_set = set()
+    for manifest_path in manifest_paths:
+        entries = read_manifest(manifest_path)
+        for entry in entries:
+            speaker = str(entry["speaker"])
+            speaker_set.add(speaker)
+
+    speaker_list = list(speaker_set)
+    speaker_list.sort()
+    speaker_index_map = {speaker_list[i]: i for i in range(len(speaker_list))}
+
+    with open(speaker_map_path, 'w', encoding="utf-8") as stats_f:
+        json.dump(speaker_index_map, stats_f, indent=4)
+
+
+if __name__ == "__main__":
+    main()