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| # ================================================================================================== | |
| # DEEPFAKE AUDIO - encoder/params_data.py (Acoustic Feature Hyperparameters) | |
| # ================================================================================================== | |
| # | |
| # 📝 DESCRIPTION | |
| # This configuration module defines the signal processing constants for the | |
| # speaker encoder. It standardizes window lengths, sampling rates, and VAD | |
| # sensitivities, ensuring consistency between training data preparation and | |
| # real-time inference. | |
| # | |
| # 👤 AUTHORS | |
| # - Amey Thakur (https://github.com/Amey-Thakur) | |
| # - Mega Satish (https://github.com/msatmod) | |
| # | |
| # 🤝🏻 CREDITS | |
| # Original Real-Time Voice Cloning methodology by CorentinJ | |
| # Repository: https://github.com/CorentinJ-Real-Time-Voice-Cloning | |
| # | |
| # 🔗 PROJECT LINKS | |
| # Repository: https://github.com/Amey-Thakur/DEEPFAKE-AUDIO | |
| # Video Demo: https://youtu.be/i3wnBcbHDbs | |
| # Research: https://github.com/Amey-Thakur/DEEPFAKE-AUDIO/blob/main/DEEPFAKE-AUDIO.ipynb | |
| # | |
| # 📜 LICENSE | |
| # Released under the MIT License | |
| # Release Date: 2021-02-06 | |
| # ================================================================================================== | |
| # --- MEL-FILTERBANK CONFIGURATION --- | |
| mel_window_length = 25 # Spectral analysis window (ms) | |
| mel_window_step = 10 # Temporal stride between windows (ms) | |
| mel_n_channels = 40 # Number of mel-scale frequency bins | |
| # --- AUDIO TEMPORAL RESOLUTION --- | |
| sampling_rate = 16000 # Global acoustic sampling frequency (Hz) | |
| partials_n_frames = 160 # Sequence length for training utterances (1.6s) | |
| inference_n_frames = 80 # Minimal sequence length for identity derivation (0.8s) | |
| # --- VOICE ACTIVITY DETECTION (VAD) --- | |
| # Sensitivity parameters for distinguishing speech from silence. | |
| vad_window_length = 30 # Temporal resolution of VAD decisions (ms) | |
| vad_moving_average_width = 8 # Smoothing factor for binary speech decisions | |
| vad_max_silence_length = 6 # Maximum allowed internal silence gap before segmentation | |
| # --- AMPLITUDE NORMALIZATION --- | |
| audio_norm_target_dBFS = -30 # Target spectral energy level in Decibels | |