How to create or hack the noise reduction model for audio processing python

Question

I have been working on NLP project and Now I need to create Speech-to-text model for that

but my dataset is noisy and I have to create the noise reduction to train my Speech-to-text model

my go is to change some of this items

optimization = {
    'amplify': '2.2 dB',
    'bass': '9.0 dB',
    'treble': '-1.0 dB',
    'volume': '1.0 dB',
    'speed': '0.98',
    'high-pass': {
        'frequency': '1000 Hz',
        'roll-off': '6dB per octave',
    },
    'low-pass': {
        'frequency': '1000 Hz',
        'roll-off': '6dB per octave',
    },
    'snap-to': 'nearest',
    'quality': 'insane-320 kbps',
    'variable-speed': 'standard',
    'chanel-mode': 'joint-stereo',
    'rate': '16000 HZ',
}

so what should I learn first