upload model

config.yml

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+
+multispeaker: true
+
+dim_in: 64 
+hidden_dim: 512
+max_conv_dim: 512
+n_layer: 3
+n_mels: 80
+
+n_token: 181 # number of phoneme tokens
+max_dur: 50 # maximum duration of a single phoneme
+style_dim: 128 # style vector size
+
+dropout: 0.2
+
+# config for decoder
+decoder: 
+    type: 'hifigan' # either hifigan or istftnet
+    resblock_kernel_sizes: [3,7,11]
+    upsample_rates :  [10,5,3,2]
+    upsample_initial_channel: 512
+    resblock_dilation_sizes: [[1,3,5], [1,3,5], [1,3,5]]
+    upsample_kernel_sizes: [20,10,6,4]
+    
+# speech language model config
+slm:
+    model: ''
+    sr: 16000 # sampling rate of SLM
+    hidden: 768 # hidden size of SLM
+    nlayers: 13 # number of layers of SLM
+    initial_channel: 64 # initial channels of SLM discriminator head
+
+# style diffusion model config
+diffusion:
+  embedding_mask_proba: 0.1
+  # transformer config
+  transformer:
+    num_layers: 3
+    num_heads: 8
+    head_features: 64
+    multiplier: 2
+
+  # diffusion distribution config
+  dist:
+    sigma_data: 0.19988229232390187 # placeholder for estimate_sigma_data set to false
+    estimate_sigma_data: true # estimate sigma_data from the current batch if set to true
+    mean: -3.0
+    std: 1.0

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bfd0e06ecc528d25c5d6371c0a5dbfa742b008d0f83d843738e411efeb03f851
+size 766654558