See https://librosa.org/doc/ for a complete reference manual and introductory tutorials. The advanced example gallery should give you a quick sense of the kinds of ...
def load_audio(file_path): y, sr = librosa.load(file_path, sr=None) return y, sr def apply_lofi_effects(y, sr): # Normalize audio y = librosa.util.normalize(y) def ...
Abstract: The paper focuses on creating an efficient system that can predict the subject's emotional state through analyzing sound environment. Thus, we use open-source audio datasets of various ...
Abstract: Addressing stuttering is an important problem. It affects the quality of an affected person's life. If machine learning algorithms can be designed to detect stuttering in audio files ...
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