msalhab96/SNR-Estimation-Using-Deep-Learning
An implementation for Frame-level Speech Signal-to-Noise Ratio Estimation using deep learning
This project helps audio engineers and speech scientists quickly assess the quality of speech recordings. You input audio files that contain speech mixed with background noise, and it outputs an estimated Signal-to-Noise Ratio (SNR) for each segment of the audio. This is useful for anyone working with spoken language data, especially in noisy environments.
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Use this if you need to objectively quantify the level of background noise in speech recordings to understand their clarity and suitability for further processing.
Not ideal if you need to remove noise from audio files, as this tool only estimates noise levels, rather than performing noise reduction.
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Jupyter Notebook
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MIT
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Last pushed
Mar 23, 2022
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