pradnya-hf-dev
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b4c5f17
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Parent(s):
1e5df9d
Upload 2 files
Browse files- hyperparams.yaml +120 -0
- model.ckpt +3 -0
hyperparams.yaml
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################################
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# Audio Parameters #
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################################
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sample_rate: 22050
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hop_length: 256
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win_length: 1024
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n_mel_channels: 80
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n_fft: 1024
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mel_fmin: 0.0
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mel_fmax: 8000.0
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mel_normalized: False
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power: 1
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norm: "slaney"
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mel_scale: "slaney"
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dynamic_range_compression: True
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################################
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# Speaker Embedding Parameters #
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################################
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spk_emb_size: 192
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spk_emb_sample_rate: 16000
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custom_mel_spec_encoder: True
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spk_emb_encoder: speechbrain/spkrec-ecapa-voxceleb-mel-spec
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################################
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# Optimization Hyperparameters #
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################################
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mask_padding: True
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################################
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# Model Parameters and model #
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################################
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n_symbols: 148 #fixed depending on symbols in textToSequence
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symbols_embedding_dim: 1024
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# Encoder parameters
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encoder_kernel_size: 5
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encoder_n_convolutions: 6
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encoder_embedding_dim: 1024
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# Decoder parameters
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# The number of frames in the target per encoder step
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n_frames_per_step: 1
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decoder_rnn_dim: 2048
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prenet_dim: 512
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max_decoder_steps: 1500
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gate_threshold: 0.5
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p_attention_dropout: 0.1
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p_decoder_dropout: 0.1
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decoder_no_early_stopping: False
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# Attention parameters
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attention_rnn_dim: 2048
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attention_dim: 256
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# Location Layer parameters
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attention_location_n_filters: 32
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attention_location_kernel_size: 31
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# Mel-post processing network parameters
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postnet_embedding_dim: 1024
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postnet_kernel_size: 5
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postnet_n_convolutions: 10
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mel_spectogram: !name:speechbrain.lobes.models.Tacotron2.mel_spectogram
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sample_rate: !ref <sample_rate>
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hop_length: !ref <hop_length>
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win_length: !ref <win_length>
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n_fft: !ref <n_fft>
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n_mels: !ref <n_mel_channels>
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f_min: !ref <mel_fmin>
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f_max: !ref <mel_fmax>
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power: !ref <power>
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normalized: !ref <mel_normalized>
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norm: !ref <norm>
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mel_scale: !ref <mel_scale>
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compression: !ref <dynamic_range_compression>
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#model
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model: !new:speechbrain.lobes.models.MSTacotron2.Tacotron2
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mask_padding: !ref <mask_padding>
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n_mel_channels: !ref <n_mel_channels>
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# symbols
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n_symbols: !ref <n_symbols>
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symbols_embedding_dim: !ref <symbols_embedding_dim>
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# encoder
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encoder_kernel_size: !ref <encoder_kernel_size>
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encoder_n_convolutions: !ref <encoder_n_convolutions>
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encoder_embedding_dim: !ref <encoder_embedding_dim>
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# attention
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attention_rnn_dim: !ref <attention_rnn_dim>
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attention_dim: !ref <attention_dim>
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# attention location
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attention_location_n_filters: !ref <attention_location_n_filters>
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attention_location_kernel_size: !ref <attention_location_kernel_size>
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# decoder
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n_frames_per_step: !ref <n_frames_per_step>
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decoder_rnn_dim: !ref <decoder_rnn_dim>
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prenet_dim: !ref <prenet_dim>
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max_decoder_steps: !ref <max_decoder_steps>
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gate_threshold: !ref <gate_threshold>
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p_attention_dropout: !ref <p_attention_dropout>
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p_decoder_dropout: !ref <p_decoder_dropout>
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# postnet
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postnet_embedding_dim: !ref <postnet_embedding_dim>
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postnet_kernel_size: !ref <postnet_kernel_size>
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postnet_n_convolutions: !ref <postnet_n_convolutions>
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decoder_no_early_stopping: !ref <decoder_no_early_stopping>
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# speaker embeddings
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spk_emb_size: !ref <spk_emb_size>
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modules:
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model: !ref <model>
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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model: !ref <model>
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model.ckpt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:294206da88347ea113f1de17bf23eac2cc8a910d8284b5b8b67ead241cddbfd5
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size 619239275
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