Ejemplos de describe_availability en Python

Ejemplo n.º 1

Archivo: voice_conversion.py Proyecto: xzm2004260/malaya-speech

def available_deep_conversion():
    """
    List available Voice Conversion models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_availability)

Ejemplo n.º 2

def available_ctc():
    """
    List available Encoder-CTC ASR models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_ctc_availability)

Ejemplo n.º 3

def available_language_model():
    """
    List available Language Model for CTC.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_language_model_availability)

Ejemplo n.º 4

def available_mbmelgan():
    """
    List available Multiband MelGAN Mel-to-Speech models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_mbmelgan_availability)

Ejemplo n.º 5

def available_transducer():
    """
    List available Encoder-Transducer ASR models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_transducer_availability)

Ejemplo n.º 6

def available_model():
    """
    List available speaker overlap deep models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_availability)

Ejemplo n.º 7

Archivo: speaker_count.py Proyecto: xzm2004260/malaya-speech

def available_model():
    """
    List available speaker counts deep models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(_availability,
                                 text='last accuracy during training session.')

Ejemplo n.º 8

Archivo: speaker_vector.py Proyecto: xzm2004260/malaya-speech

def available_model():
    """
    List available speaker vector deep models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _availability,
        text='tested on VoxCeleb2 test set. Lower EER is better.',
    )

Ejemplo n.º 9

Archivo: speaker_change.py Proyecto: xiaozhuo12138/malaya-speech

def available_model():
    """
    List available speaker change deep models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _availability,
        text='last accuracy during training session before early stopping.',
    )

Ejemplo n.º 10

def available_deep_enhance():
    """
    List available Background Enhance UNET Waveform sampling deep learning model.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _sampling_availability,
        text = 'Only calculate SDR, ISR, SAR on voice sample. Higher is better.',
    )

Ejemplo n.º 11

Archivo: tts.py Proyecto: xzm2004260/malaya-speech

def available_fastspeech2():
    """
    List available FastSpeech2, Text to Mel models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _fastspeech2_availability,
        text = '`husein` and `haqkiem` combined loss from training set',
    )

Ejemplo n.º 12

Archivo: tts.py Proyecto: xzm2004260/malaya-speech

def available_tacotron2():
    """
    List available Tacotron2, Text to Mel models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _tacotron2_availability,
        text = '`husein` and `haqkiem` combined loss from training set.',
    )

Ejemplo n.º 13

Archivo: super_resolution.py Proyecto: xzm2004260/malaya-speech

def available_model():
    """
    List available Super Resolution 4x deep learning models.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _availability,
        text = 'Only calculate SDR, ISR, SAR on voice sample. Higher is better.',
    )

Ejemplo n.º 14

def available_deep_masking():
    """
    List available Speech Enhancement STFT masking deep learning model.
    """
    from malaya_speech.utils import describe_availability

    return describe_availability(
        _masking_availability,
        text = 'Only calculate SDR, ISR, SAR on voice sample. Higher is better.',
    )