from malaya_speech.supervised import vocoder
from herpetologist import check_type
from malaya_speech.utils import describe_availability
import warnings
_melgan_availability = {
'male': {
'Size (MB)': 17.3,
'Quantized Size (MB)': 4.53,
},
'female': {
'Size (MB)': 17.3,
'Quantized Size (MB)': 4.53,
},
'husein': {
'Size (MB)': 17.3,
'Quantized Size (MB)': 4.53,
},
'haqkiem': {
'Size (MB)': 17.3,
'Quantized Size (MB)': 4.53,
},
'yasmin': {
'Size (MB)': 17.3,
'Quantized Size (MB)': 4.53,
},
'osman': {
'Size (MB)': 17.3,
'Quantized Size (MB)': 4.53,
'Mel loss': 0.4819,
},
'universal': {
'Size (MB)': 309,
'Quantized Size (MB)': 77.5,
},
'universal-1024': {
'Size (MB)': 78.4,
'Quantized Size (MB)': 19.9,
},
'universal-384': {
'Size (MB)': 11.3,
'Quantized Size (MB)': 3.06,
},
}
_mbmelgan_availability = {
'female': {
'Size (MB)': 10.4,
'Quantized Size (MB)': 2.82,
},
'male': {
'Size (MB)': 10.4,
'Quantized Size (MB)': 2.82,
},
'husein': {
'Size (MB)': 10.4,
'Quantized Size (MB)': 2.82,
},
'haqkiem': {
'Size (MB)': 10.4,
'Quantized Size (MB)': 2.82,
},
}
_hifigan_availability = {
'male': {
'Size (MB)': 8.8,
'Quantized Size (MB)': 2.49,
},
'female': {
'Size (MB)': 8.8,
'Quantized Size (MB)': 2.49,
},
'universal-1024': {
'Size (MB)': 170,
'Quantized Size (MB)': 42.9,
},
'universal-768': {
'Size (MB)': 72.8,
'Quantized Size (MB)': 18.5,
},
'universal-512': {
'Size (MB)': 32.6,
'Quantized Size (MB)': 8.6,
},
}
_pt_hifigan_availability = {
'huseinzol05/jik876-UNIVERSAL_V1': {
'original from': 'https://github.com/jik876/hifi-gan',
'Size (MB)': 55.8
}
}
[docs]def available_melgan():
"""
List available MelGAN Mel-to-Speech models.
"""
warnings.warn(
'`malaya_speech.vocoder.available_melgan` is using Tensorflow, malaya-speech no longer improved it after version 1.4.0',
DeprecationWarning)
return describe_availability(_melgan_availability)
[docs]def available_mbmelgan():
"""
List available Multiband MelGAN Mel-to-Speech models.
"""
warnings.warn(
'`malaya_speech.vocoder.available_mbmelgan` is using Tensorflow, malaya-speech no longer improved it after version 1.4.0',
DeprecationWarning)
return describe_availability(_mbmelgan_availability)
[docs]def available_hifigan():
"""
List available HiFiGAN Mel-to-Speech models.
"""
warnings.warn(
'`malaya_speech.vocoder.available_hifigan` is using Tensorflow, malaya-speech no longer improved it after version 1.4.0',
DeprecationWarning)
return describe_availability(_hifigan_availability)
[docs]def available_pt_hifigan():
"""
List available PyTorch HiFiGAN Mel-to-Speech models.
"""
return describe_availability(_pt_hifigan_availability)
[docs]@check_type
def melgan(model: str = 'universal-1024', quantized: bool = False, **kwargs):
"""
Load MelGAN Vocoder model.
Parameters
----------
model : str, optional (default='universal-1024')
Check available models at `malaya_speech.vocoder.available_melgan()`.
quantized : bool, optional (default=False)
if True, will load 8-bit quantized model.
Quantized model not necessary faster, totally depends on the machine.
Returns
-------
result : malaya_speech.model.synthesis.Vocoder class
"""
warnings.warn(
'`malaya_speech.vocoder.melgan` is using Tensorflow, malaya-speech no longer improved it after version 1.4.0',
DeprecationWarning)
model = model.lower()
if model not in _melgan_availability:
raise ValueError(
'model not supported, please check supported models from `malaya_speech.vocoder.available_melgan()`.'
)
return vocoder.load(
model=model,
module='vocoder-melgan',
quantized=quantized,
**kwargs
)
[docs]@check_type
def mbmelgan(model: str = 'female', quantized: bool = False, **kwargs):
"""
Load Multiband MelGAN Vocoder model.
Parameters
----------
model : str, optional (default='female')
Check available models at `malaya_speech.vocoder.available_mbmelgan()`.
quantized : bool, optional (default=False)
if True, will load 8-bit quantized model.
Quantized model not necessary faster, totally depends on the machine.
Returns
-------
result : malaya_speech.model.synthesis.Vocoder class
"""
warnings.warn(
'`malaya_speech.vocoder.mbmelgan` is using Tensorflow, malaya-speech no longer improved it after version 1.4.0',
DeprecationWarning)
model = model.lower()
if model not in _mbmelgan_availability:
raise ValueError(
'model not supported, please check supported models from `malaya_speech.vocoder.available_mbmelgan()`.'
)
return vocoder.load(
model=model,
module='vocoder-mbmelgan',
quantized=quantized,
**kwargs
)
[docs]@check_type
def hifigan(model: str = 'universal-768', quantized: bool = False, **kwargs):
"""
Load HiFiGAN Vocoder model.
Parameters
----------
model : str, optional (default='universal-768')
Check available models at `malaya_speech.vocoder.available_hifigan()`.
quantized : bool, optional (default=False)
if True, will load 8-bit quantized model.
Quantized model not necessary faster, totally depends on the machine.
Returns
-------
result : malaya_speech.model.synthesis.Vocoder class
"""
warnings.warn(
'`malaya_speech.vocoder.hifigan` is using Tensorflow, malaya-speech no longer improved it after version 1.4.0',
DeprecationWarning)
model = model.lower()
if model not in _hifigan_availability:
raise ValueError(
'model not supported, please check supported models from `malaya_speech.vocoder.available_hifigan()`.'
)
return vocoder.load(
model=model,
module='vocoder-hifigan',
quantized=quantized,
**kwargs
)
[docs]def pt_hifigan(model: str = 'huseinzol05/jik876-UNIVERSAL_V1', **kwargs):
"""
Load PyTorch HiFiGAN Vocoder model, originally from https://github.com/jik876/hifi-gan.
Parameters
----------
model : str, optional (default='huseinzol05/jik876-UNIVERSAL_V1')
Returns
-------
result : malaya_speech.torch_model.synthesis.Vocoder class
"""
return vocoder.load_pt_hifigan(
model=model,
**kwargs,
)
