echoCodeScript / Infant-Cry-Classification-ML-ModelLinks
This repository contains CryMLClassifier, a machine learning model that classifies baby cries into five categories. It utilizes 193 features extracted from the cry audio data, achieving high accuracy with Random Forest and XGBoost algorithms. The repository includes a "features_extraction" folder for feature extraction code samples.
☆20Updated 2 years ago
Alternatives and similar repositories for Infant-Cry-Classification-ML-Model
Users that are interested in Infant-Cry-Classification-ML-Model are comparing it to the libraries listed below
Sorting:
- An infant cry audio corpus that's being built through the Donate-a-cry campaign - see http://donateacry.com☆185Updated 5 years ago
- Classify the baby cry into 8 different categories (hungry, needs burping, scared, belly pain, discomfort, cold/hot, lonely, tired).☆28Updated last year
- An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, …☆77Updated 4 years ago
- This model is designed Using GMM and MFCC and tested with Hindi/English audio samples with a good resultant accuracy.☆15Updated 5 years ago
- A baby cry detector written with matlab and a classifier based on sklearn.☆31Updated 7 years ago
- Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)☆217Updated 2 years ago
- ☆32Updated 2 years ago
- ☆95Updated 2 years ago
- Identify the emotion of multiple speakers in an Audio Segment☆175Updated 2 years ago
- Building a Deep learning model that predicts the gender of a speaker using TensorFlow 2☆127Updated 2 years ago
- Speaker Recognition System using MFCC and GMM.☆24Updated 7 years ago
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆112Updated 3 years ago
- Speaker verification using ResnetSE (EER=0.0093) and ECAPA-TDNN☆96Updated 4 years ago
- Recognition of baby cry audio signal☆278Updated 2 years ago
- Deep Learning - one shot learning for speaker recognition using Filter Banks☆170Updated last year
- Human emotions are one of the strongest ways of communication. Even if a person doesn’t understand a language, he or she can very well u…☆25Updated 4 years ago
- Neural Network based Sound Source Localization Models☆43Updated 2 years ago
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆207Updated 2 years ago
- Audio feature extraction and multi-classification with the ECS-10 data set☆20Updated 7 years ago
- ICSD Dataset☆34Updated 3 months ago
- Sound Source Localization for AI Grand Challenge 2021☆23Updated 3 years ago
- A two-stage polyphonic sound event detection and localization method for both SED and DOA.☆115Updated 2 years ago
- A python model to detect and segment coughs, forked from coughvid's repo☆11Updated 11 months ago
- This project is about performing Speaker diarization for Hindi Language.☆49Updated 4 years ago
- General purpose sound recognition demo☆158Updated last year
- Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library☆211Updated 5 years ago
- Estimating the Age, Height, and Gender of a speaker with their speech signal. https://arxiv.org/pdf/2110.13653.pdf☆66Updated 4 years ago
- Paderborn Sound Event Detection☆76Updated 2 years ago
- Source code for Consistent ensemble distillation for audio tagging☆46Updated 3 months ago
- A collection of datasets for the purpose of emotion recognition/detection in speech.☆376Updated 11 months ago