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""" |
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This script takes a list of TTS manifests and creates a JSON mapping the input speaker names to |
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unique indices for multi-speaker TTS training. |
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To ensure that speaker names are unique across datasets, it is recommended that you prepend the speaker |
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names in your manifest with the name of the dataset. |
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$ python <nemo_root_path>/scripts/dataset_processing/tts/create_speaker_map.py \ |
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--manifest_path=manifest1.json \ |
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--manifest_path=manifest2.json \ |
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--speaker_map_path=speakers.json |
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Example output: |
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{ |
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"vctk_p225": 0, |
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"vctk_p226": 1, |
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"vctk_p227": 2, |
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... |
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} |
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""" |
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import argparse |
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import json |
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from pathlib import Path |
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from nemo.collections.asr.parts.utils.manifest_utils import read_manifest |
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def get_args(): |
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parser = argparse.ArgumentParser( |
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formatter_class=argparse.ArgumentDefaultsHelpFormatter, |
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description="Create mapping from speaker names to numerical speaker indices.", |
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) |
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parser.add_argument( |
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"--manifest_path", required=True, type=Path, action="append", help="Path to training manifest(s).", |
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) |
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parser.add_argument( |
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"--speaker_map_path", required=True, type=Path, help="Path for output speaker index JSON", |
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) |
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parser.add_argument( |
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"--overwrite", |
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action=argparse.BooleanOptionalAction, |
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help="Whether to overwrite the output speaker file if it exists.", |
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) |
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args = parser.parse_args() |
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return args |
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def main(): |
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args = get_args() |
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manifest_paths = args.manifest_path |
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speaker_map_path = args.speaker_map_path |
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overwrite = args.overwrite |
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for manifest_path in manifest_paths: |
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if not manifest_path.exists(): |
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raise ValueError(f"Manifest {manifest_path} does not exist.") |
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if speaker_map_path.exists(): |
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if overwrite: |
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print(f"Will overwrite existing speaker path: {speaker_map_path}") |
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else: |
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raise ValueError(f"Speaker path already exists: {speaker_map_path}") |
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speaker_set = set() |
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for manifest_path in manifest_paths: |
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entries = read_manifest(manifest_path) |
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for entry in entries: |
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speaker = str(entry["speaker"]) |
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speaker_set.add(speaker) |
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speaker_list = list(speaker_set) |
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speaker_list.sort() |
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speaker_index_map = {speaker_list[i]: i for i in range(len(speaker_list))} |
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with open(speaker_map_path, 'w', encoding="utf-8") as stats_f: |
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json.dump(speaker_index_map, stats_f, indent=4) |
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if __name__ == "__main__": |
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main() |
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