add speaker name

libriheavy.py

@@ -2,10 +2,12 @@ import json
 import gzip
 import os
 from pathlib import Path
+import re
 
 import datasets
 import numpy as np
 from tqdm import tqdm
+import requests
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -117,6 +119,9 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
                 metadata_path = dl_manager.download_and_extract(metadata_path)
                 with open(metadata_path, "r") as f:
                     speaker_metadata[speaker_id] = json.load(f)
+                speaker_name = requests.get(f"https://librivox.org/reader/{speaker_id}").text
+                speaker_name = re.findall("<h1>([^<>]+)</h1>", speaker_name)[0]
+                speaker_metadata[speaker_id]["name"] = speaker_name
                 with open(f"{metadata_cache}/{speaker_id}.json", "w") as f:
                     json.dump(speaker_metadata[speaker_id], f)
 
@@ -127,6 +132,7 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
             for chunk_id, chunk in metadata["chunks"].items():
                 chunk_dict = {
                     "speaker_id": speaker_id,
+                    "speaker_name": metadata["name"],
                     "id": f"{speaker_id}_{chunk_id}",
                     "audio": dl_manager.download(f"{PATH}/{speaker_id}/{chunk['npz'].replace('.gz', '')}"),
                     "text": dl_manager.download(f"{PATH}/{speaker_id}/{chunk['json']}"),
@@ -174,6 +180,7 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
                     result =  {
                         "id": chunk["speaker_id"] + "_" + utterance_id,
                         "speaker_id": chunk["speaker_id"],
+                        "speaker_name": chunk["speaker_name"],
                         "speaker_vec": npz_item["d_vector"][0],
                         "audio": chunk["audio"],
                         "text": chunk["text"],