Automatic Speech Recognition for Chhattisgarhi
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Updated
Apr 1, 2019 - Jupyter Notebook
Automatic Speech Recognition for Chhattisgarhi
Comparison of multimodal models for Emotion Detection on IEMOCAP
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.
Voice based gender classification implemented using various Machine Learning algorithms from scratch using mfcc and pitch as features.
Bangla Automatic Speech Recognition
A State of the Art libraries for speech processing
Identify a voice as male or female, based upon acoustic properties of the voice and speech extracted by processing audio.
This project is about spotting a keyword from the Google Speech Commands Dataset.
procedures from Librosa library (https://github.com/librosa/librosa) for mfcc embeddings calculation of sound files for Raspberry Pi 64bit OS
A high-performance (98% identification accuracy) & low-cost industrial speaker identification system.
Project for classifying audio files into different genres using the K-Nearest Neighbors (KNN) algorithm.
Audio preprocessing tool for signal processing and machine learning applications.
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