torchaudio.models.hubert_pretrain_base¶
- torchaudio.models.hubert_pretrain_base(encoder_projection_dropout: float = 0.1, encoder_attention_dropout: float = 0.1, encoder_ff_interm_dropout: float =0.0, encoder_dropout: float =0.1, encoder_layer_drop: float =0.05, mask_prob: float =0.8, mask_channel_prob: float =0.0, mask_channel_length: int =10, feature_grad_mult: Optional[float] = 0.1, num_classes: int = 100) HuBERTPretrainModel [source]¶
构建“基础”
HuBERTPretrainModel
来自 HuBERT [Hsu et al., 2021] 用于预训练。- 参数:
encoder_projection_dropout (float) – 参见
hubert_pretrain_model()
。encoder_attention_dropout (float) – 参见
hubert_pretrain_model()
。encoder_ff_interm_dropout (float) – 参见
hubert_pretrain_model()
。encoder_dropout (float) – 参见
hubert_pretrain_model()
。encoder_layer_drop (float) – 参见
hubert_pretrain_model()
。mask_prob (float) – 参见
hubert_pretrain_model()
。mask_channel_prob (float) – 参见
hubert_pretrain_model()
。mask_channel_length (int) – 参见
hubert_pretrain_model()
。feature_grad_mult (float 或 None) – 参见
hubert_pretrain_model()
。num_classes (int, 可选) – 参见
hubert_pretrain_model()
。
- 返回:
结果模型。
- 返回类型: