Upload encoder/data_objects/speaker_batch.py with huggingface_hub

encoder/data_objects/speaker_batch.py

@@ -0,0 +1,12 @@
+import numpy as np
+from typing import List
+from encoder.data_objects.speaker import Speaker
+
+class SpeakerBatch:
+    def __init__(self, speakers: List[Speaker], utterances_per_speaker: int, n_frames: int):
+        self.speakers = speakers
+        self.partials = {s: s.random_partial(utterances_per_speaker, n_frames) for s in speakers}
+        
+        # Array of shape (n_speakers * n_utterances, n_frames, mel_n), e.g. for 3 speakers with
+        # 4 utterances each of 160 frames of 40 mel coefficients: (12, 160, 40)
+        self.data = np.array([frames for s in speakers for _, frames, _ in self.partials[s]])