kevinwang676's picture
Add files using upload-large-folder tool
fd82c69 verified
# set random seed, so that you may reproduce your result.
__set_seed1: !apply:random.seed [1986]
__set_seed2: !apply:numpy.random.seed [1986]
__set_seed3: !apply:torch.manual_seed [1986]
__set_seed4: !apply:torch.cuda.manual_seed_all [1986]
# fixed params
sample_rate: 24000
llm_input_size: 2048
llm_output_size: 2048
spk_embed_dim: 192
qwen_pretrain_path: ''
# model params
# for all class/function included in this repo, we use !<name> or !<new> for intialization, so that user may find all corresponding class/function according to one single yaml.
# for system/third_party class/function, we do not require this.
llm: !new:model.llm.llm.RWKV7LM
llm_input_size: !ref <llm_input_size>
llm_output_size: !ref <llm_output_size>
speech_token_size: 6561
length_normalized_loss: True
lsm_weight: 0
vocab_size: 65548
llm: !ref <qwen_pretrain_path>
sampling: !name:cosyvoice.utils.common.ras_sampling
top_p: 0.8
top_k: 25
win_size: 10
tau_r: 0.1
flow: !new:cosyvoice.flow.flow.CausalMaskedDiffWithXvec
input_size: 512
output_size: 80
spk_embed_dim: !ref <spk_embed_dim>
output_type: 'mel'
vocab_size: 6561
input_frame_rate: 25
only_mask_loss: True
token_mel_ratio: 2
pre_lookahead_len: 3
encoder: !new:cosyvoice.transformer.upsample_encoder.UpsampleConformerEncoder
output_size: 512
attention_heads: 8
linear_units: 2048
num_blocks: 6
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.1
normalize_before: True
input_layer: 'linear'
pos_enc_layer_type: 'rel_pos_espnet'
selfattention_layer_type: 'rel_selfattn'
input_size: 512
use_cnn_module: False
macaron_style: False
decoder: !new:cosyvoice.flow.flow_matching.CausalConditionalCFM
in_channels: 240
n_spks: 1
spk_emb_dim: 80
cfm_params: !new:omegaconf.DictConfig
content:
sigma_min: 1e-06
solver: 'euler'
t_scheduler: 'cosine'
training_cfg_rate: 0.2
inference_cfg_rate: 0.7
reg_loss_type: 'l1'
estimator: !new:cosyvoice.flow.decoder.ConditionalDecoder
in_channels: 320
out_channels: 80
causal: True
channels: [256]
dropout: 0.0
attention_head_dim: 64
n_blocks: 4
num_mid_blocks: 12
num_heads: 8
act_fn: 'gelu'
hift: !new:cosyvoice.hifigan.generator.HiFTGenerator
in_channels: 80
base_channels: 512
nb_harmonics: 8
sampling_rate: !ref <sample_rate>
nsf_alpha: 0.1
nsf_sigma: 0.003
nsf_voiced_threshold: 10
upsample_rates: [8, 5, 3]
upsample_kernel_sizes: [16, 11, 7]
istft_params:
n_fft: 16
hop_len: 4
resblock_kernel_sizes: [3, 7, 11]
resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]
source_resblock_kernel_sizes: [7, 7, 11]
source_resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]
lrelu_slope: 0.1
audio_limit: 0.99
f0_predictor: !new:cosyvoice.hifigan.f0_predictor.ConvRNNF0Predictor
num_class: 1
in_channels: 80
cond_channels: 512
# processor functions
get_tokenizer: !name:utils.utilities.get_tokenizer
model_dir: !ref <qwen_pretrain_path>
allowed_special: 'all'
feat_extractor: !name:matcha.utils.audio.mel_spectrogram
n_fft: 1920
num_mels: 80
sampling_rate: !ref <sample_rate>
hop_size: 480
win_size: 1920
fmin: 0
fmax: 8000
center: False