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import numpy as np
from typing import List
from speaker_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]])