IliaZenkov / sklearn-audio-classificationLinks
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
☆75Updated 4 years ago
Alternatives and similar repositories for sklearn-audio-classification
Users that are interested in sklearn-audio-classification are comparing it to the libraries listed below
Sorting:
- Time series course Fall 2019 project☆53Updated 4 years ago
- Estimating the Age, Height, and Gender of a speaker with their speech signal. https://arxiv.org/pdf/2110.13653.pdf☆65Updated 4 years ago
- ☆48Updated last year
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆203Updated 2 years ago
- Pytorch implementation of deep audio embedding calculation☆103Updated last year
- In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifi…☆27Updated last year
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆133Updated 5 months ago
- ☆93Updated 2 years ago
- These are praat scripts I use in my research, implemented in parselmouth for python for use in binder☆132Updated 3 years ago
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆39Updated last year
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆138Updated 4 years ago
- Repository hosting code and slides of the Audio Data Augmentation series on The Sound of AI YT channel.☆37Updated 3 years ago
- Automatic speech emotion recognition based on transfer learning from spectrograms using ResNET☆23Updated 3 years ago
- ☆135Updated 9 months ago
- [RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)☆30Updated last year
- Repo associated to the DESED dataset, download and creation of data☆138Updated 11 months ago
- Wav2Vec for speech recognition, classification, and audio classification☆263Updated 3 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆93Updated 4 years ago
- 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…☆24Updated 4 years ago
- ☆29Updated 3 years ago
- MFCC features + SVM for speech emotion classification☆16Updated 4 years ago
- Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition☆150Updated 3 years ago
- transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.☆277Updated 4 years ago
- Repository for code and paper submitted for APSIPA 2019, Lanzhou, China☆23Updated 10 months ago
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆121Updated 4 years ago
- ☆84Updated 2 years ago
- ☆107Updated 4 years ago
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition☆81Updated 4 years ago
- Simple, straight-forward extraction of acoustic and prosodic features from sound waves based on Praat and Parselmouth.☆23Updated 5 years ago
- Repository for my paper: Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition☆11Updated last year