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