File size: 1,574 Bytes
e8c2585 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
# Generated 2023-02-21 from:
# /netscratch/sagar/thesis/speechbrain/recipes/DNS/enhancement/hparams/resume-sepformer-dns_16k.yaml
# yamllint disable
# ################################
# Model: SepFormer for source separation
# https://arxiv.org/abs/2010.13154
#
# Author: Sangeet Sagar 2022
# Dataset : Microsoft-DNS
# ################################
# Basic parameters
sample_rate: 16000
num_spks: 1
# Specifying the network
Encoder: &id003 !new:speechbrain.lobes.models.dual_path.Encoder
kernel_size: 16
out_channels: 256
SBtfintra: &id001 !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
num_layers: 8
d_model: 256
nhead: 8
d_ffn: 1024
dropout: 0
use_positional_encoding: true
norm_before: true
SBtfinter: &id002 !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
num_layers: 8
d_model: 256
nhead: 8
d_ffn: 1024
dropout: 0
use_positional_encoding: true
norm_before: true
MaskNet: &id005 !new:speechbrain.lobes.models.dual_path.Dual_Path_Model
num_spks: 1
in_channels: 256
out_channels: 256
num_layers: 2
K: 250
intra_model: *id001
inter_model: *id002
norm: ln
linear_layer_after_inter_intra: false
skip_around_intra: true
Decoder: &id004 !new:speechbrain.lobes.models.dual_path.Decoder
in_channels: 256
out_channels: 1
kernel_size: 16
stride: 8
bias: false
modules:
encoder: *id003
decoder: *id004
masknet: *id005
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
loadables:
encoder: !ref <Encoder>
masknet: !ref <MaskNet>
decoder: !ref <Decoder> |