Instrument recognition with MFCC for Sound and Music Signal Analysis Exam
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Updated
Jun 7, 2017 - HTML
Instrument recognition with MFCC for Sound and Music Signal Analysis Exam
Identify speaker from given speech signal using MFCC features and Gaussian Mixture Models
Implementação do algoritmo de extração de características em dart.
Speech processing: Vowel classifier based on formants and MFCC.
Automatic Speech Recognition for Chhattisgarhi
Library to extract MFCC features from audio signal
Comparison of multimodal models for Emotion Detection on IEMOCAP
Building a speaker identification & verification pipeline for Vietnamese voices 😪
Verification using voice biometrics
MATLAB code for audio signal processing, emphasizing Real Cepstrum and MFCC feature extraction. Reads a wave file, applies Hamming and Rectangular windows, then computes Real Cepstrum. Utilizes MATLAB's built-in functions for extracting MFCC features. Perfect for audio analysis and feature engineering.
Audio preprocessing tool for signal processing and machine learning applications.
ArtistGodGun's Music Compose AI Project - Single DrumSource Classification
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