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Jan 30, 2019 - Python
mfcc-analysis
Here are 20 public repositories matching this topic...
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.
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Dec 6, 2023 - MATLAB
A comparison of two implementations of MFCC for audio preprocessing. Tested on Raspberry4.
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Dec 26, 2022 - Python
In this project we have created a Artificial Neural Network to classify the audios along with Exploratory Data Analysis and Data Preprocessing.
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Oct 10, 2021 - Jupyter Notebook
Codes for Audio Representation Learning (EE798P) offered at IIT Kanpur and picked up by me in my seventh semester
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Nov 17, 2023 - Jupyter Notebook
Emotion Recognition using matlab (Machine Learning using SVM and Random Forest)
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Mar 22, 2018
🎙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🎤
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Feb 7, 2022 - Jupyter Notebook
We use MFCC to convert heart sounds to images and to recognize images using the latest Google’s research called Vision Transformer(ViT).
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Mar 10, 2023 - Jupyter Notebook
Basic speech processing implementations
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Jan 11, 2018 - MATLAB
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
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May 7, 2024 - Jupyter Notebook
SVM model using i-vector
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Aug 23, 2022 - Jupyter Notebook
AI TECH 2021
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Dec 28, 2021 - Python
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
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Jan 4, 2024 - HTML
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.
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Dec 13, 2018 - Python
Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction
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Jun 23, 2023 - Python
Machine Learning Approach to built a robust speaker recognition model using MFCC features and GMM universal background model.
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May 30, 2020 - Python
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
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Aug 20, 2021 - Jupyter Notebook
A RESTFUL API implementation of an authentification system using voice fingerprint
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Apr 18, 2020 - Python
Use machine learning models to detect lies based solely on acoustic speech information
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Jul 27, 2019 - Jupyter Notebook
Identify the emotion of multiple speakers in an Audio Segment
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Feb 12, 2023 - C
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