Instructions to use speechbrain/sgmse-voicebank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sgmse-voicebank with speechbrain:
# interface not specified in config.json
- Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- hyperparams.yaml +46 -0
- score_model_ema.ckpt +3 -0
hyperparams.yaml
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sample_rate: 16000
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n_fft: 510
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hop_length: 128
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window_type: hann
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transform_type: exponent
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spec_factor: 0.15
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spec_abs_exponent: 0.5
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sampling:
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sampler_type: pc
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predictor: reverse_diffusion
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corrector: ald
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N: 30
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corrector_steps: 1
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snr: 0.5
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modules:
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score_model: !new:speechbrain.integrations.models.sgmse_plus.ScoreModel
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backbone: ncsnpp_v2
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sde: ouve
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theta: 1.5
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sigma_min: 0.05
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sigma_max: 0.5
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lr: 0.0001
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ema_decay: 0.999
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t_eps: 0.03
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num_eval_files: 5
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loss_type: score_matching
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loss_weighting: sigma^2
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network_scaling: 1/t
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c_in: '1'
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c_out: '1'
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c_skip: '0'
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sigma_data: 0.1
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l1_weight: 0.001
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pesq_weight: 0.0
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N: 30
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corrector_steps: 1
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sampler_type: pc
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snr: 0.5
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sr: 16000
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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score_model_ema: !ref <modules[score_model]>
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score_model_ema.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ca96321aca40cdca90c450d1450a5c7f343935e5b46ee34a1b575f9f774ccc3
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size 262593305
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