mfcc-analysis
There are 0 repository under mfcc-analysis topic.
SuyashMore / MevonAI-Speech-Emotion-Recognition
Identify the emotion of multiple speakers in an Audio Segment
Language:C 157alicex2020 / Deep-Learning-Lie-Detection
Use machine learning models to detect lies based solely on acoustic speech information
Language:Jupyter Notebook 41IhabBendidi / Voice-authentification-API
A RESTFUL API implementation of an authentification system using voice fingerprint
Language:Python 24mansi-k / Stutter-Therapy
Developed and trained Gated-CNN models to detect types of stutter in speech and SVM classifier to suggest new therapies to the user according to his stutter type and severity
Language:Jupyter Notebook 15sbhusal123 / Speaker-Recognition
Machine Learning Approach to built a robust speaker recognition model using MFCC features and GMM universal background model.
Language:Python 14FilipTirnanic96 / mfcc_extraction
Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction
Language:Python 4tanishq1g / Author_Style_Recognition
The goal is to recognize and understand different patterns and features which make up the author’s unique style of writing and eventually predict who might have written a piece of work.
Language:Python 3- Language:Python 2
billy-enrizky / Speech-Emotion-Recognition
This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing
Language:HTML 2Chandra-cc / Emotion-Recognition-from-speech-signals-over-the-TESS-dataset
Emotion Recognition using matlab (Machine Learning using SVM and Random Forest)
Md-Faisal-Uddin / HeartViT
We use MFCC to convert heart sounds to images and to recognize images using the latest Google’s research called Vision Transformer(ViT).
Language:Jupyter Notebook 1ravissement / I-vetors-SVM
SVM model using i-vector
Language:Jupyter Notebook 1subhayuroy / Melody_Synthesis
🎙Audio analysis - a field that includes automatic speech recognition(ASR)🎛, digital signal processing🎚, and music classification🎶, tagging📻, and generation🎧 - is a 🎼growing subdomain of 🎵deep learning applications🎤
Language:Jupyter Notebook 1swapnilbembde / assignments_ee679
Basic speech processing implementations
Language:MATLAB 1mohammadnabia / Matlab_DSP_MFCC
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.
Language:MATLAB 0prankur16shukla / Audio_Classification
In this project we have created a Artificial Neural Network to classify the audios along with Exploratory Data Analysis and Data Preprocessing.
Language:Jupyter Notebook 0ScorcaF / FastMFCC
A comparison of two implementations of MFCC for audio preprocessing. Tested on Raspberry4.
Language:Python 0- Language:Python
Jadit19 / audio-representation-learning
Codes for Audio Representation Learning (EE798P) offered at IIT Kanpur and picked up by me in my seventh semester
Language:Jupyter Notebook
