turian
/
sgmse-speech-enhancement-deverb-replicate
Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation
Run turian/sgmse-speech-enhancement-deverb-replicate with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
Input schema
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
Field | Type | Default value | Description |
---|---|---|---|
audio |
string
|
Speech audio file
|
|
checkpoint |
string
(enum)
|
EARS-WHAM
Options: EARS-WHAM, EARS-Reverb |
Model checkpoint to use. EARS-WHAM speech enhancement or EARS-Reverb dereverberation.
|
corrector |
string
(enum)
|
ald
Options: ald, langevin, none |
Corrector class for the PC sampler.
|
corrector_steps |
integer
|
1
|
Number of corrector steps
|
snr |
number
|
0.5
|
SNR value for (annealed) Langevin dynamics.
|
N |
integer
|
30
|
Number of reverse steps
|
{
"type": "object",
"title": "Input",
"required": [
"audio"
],
"properties": {
"N": {
"type": "integer",
"title": "N",
"default": 30,
"x-order": 5,
"description": "Number of reverse steps"
},
"snr": {
"type": "number",
"title": "Snr",
"default": 0.5,
"x-order": 4,
"description": "SNR value for (annealed) Langevin dynamics."
},
"audio": {
"type": "string",
"title": "Audio",
"format": "uri",
"x-order": 0,
"description": "Speech audio file"
},
"corrector": {
"enum": [
"ald",
"langevin",
"none"
],
"type": "string",
"title": "corrector",
"description": "Corrector class for the PC sampler.",
"default": "ald",
"x-order": 2
},
"checkpoint": {
"enum": [
"EARS-WHAM",
"EARS-Reverb"
],
"type": "string",
"title": "checkpoint",
"description": "Model checkpoint to use. EARS-WHAM speech enhancement or EARS-Reverb dereverberation.",
"default": "EARS-WHAM",
"x-order": 1
},
"corrector_steps": {
"type": "integer",
"title": "Corrector Steps",
"default": 1,
"x-order": 3,
"description": "Number of corrector steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output",
"format": "uri"
}