scripts to model depression in speech and text
☆74Jan 22, 2020Updated 6 years ago
Alternatives and similar repositories for redbud-tree-depression
Users that are interested in redbud-tree-depression are comparing it to the libraries listed below
Sorting:
- Predicting depression from acoustic features of speech using a Convolutional Neural Network.☆317Oct 29, 2018Updated 7 years ago
- ☆23Aug 2, 2024Updated last year
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆50Jul 6, 2023Updated 2 years ago
- ☆35Sep 5, 2022Updated 3 years ago
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆83Sep 9, 2021Updated 4 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆74Apr 1, 2021Updated 4 years ago
- Baseline scripts for the Audio/Visual Emotion Challenge 2019☆80Mar 5, 2022Updated 4 years ago
- Depression Detection from Speech☆35Apr 19, 2017Updated 8 years ago
- Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…☆14Jul 10, 2020Updated 5 years ago
- Multi-modality Hierarchical Recall based on GBDTs for Bipolar Disorder Classification☆10Jul 12, 2023Updated 2 years ago
- ☆69Feb 21, 2024Updated 2 years ago
- ☆27May 18, 2022Updated 3 years ago
- ☆13Nov 21, 2023Updated 2 years ago
- Here the code of EmoAudioNet is a deep neural network for speech classification (published in ICPR 2020)☆14Jul 13, 2020Updated 5 years ago
- ☆15Apr 14, 2020Updated 5 years ago
- lyrics-to-audio-alignement system. Initially done using HTK for rapid prototyping☆14Mar 14, 2018Updated 7 years ago
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆201Jul 10, 2023Updated 2 years ago
- ☆17Jan 26, 2021Updated 5 years ago
- Singing voice detection☆15Aug 28, 2018Updated 7 years ago
- Papers using E-DAIC dataset (AVEC 2019 DDS)☆38Apr 7, 2023Updated 2 years ago
- openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit☆84Feb 17, 2021Updated 5 years ago
- Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Mon…☆69Feb 26, 2019Updated 7 years ago
- Contains links to publicly available datasets for modeling health outcomes using speech and language.☆127Jun 10, 2024Updated last year
- the baseline model of CMDC corpus☆53Aug 17, 2022Updated 3 years ago
- Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation☆83Apr 29, 2023Updated 2 years ago
- A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis☆129Feb 25, 2025Updated last year
- Utilities for manipulating finite state transducers with the OpenFst library.☆32Sep 22, 2017Updated 8 years ago
- Deep Neural Network for joint emotion classification and landmark localization.☆21Apr 2, 2019Updated 6 years ago
- depression-detect Predicting depression from AVEC2014 using ResNet18.☆60Jun 17, 2024Updated last year
- Acoustic and language models for minorised languages.☆26Sep 30, 2020Updated 5 years ago
- Dartmouth CS74 (Machine Learning) final project: implemented algorithm by Olshausen and Field (1996), ran on piano midi data.☆16May 31, 2012Updated 13 years ago
- Depression study through EEG data☆25Dec 18, 2021Updated 4 years ago
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆25Sep 7, 2021Updated 4 years ago
- Baseline scripts of the 8th Audio/Visual Emotion Challenge (AVEC 2018)☆60Jul 4, 2018Updated 7 years ago
- The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 archi…☆30Oct 3, 2023Updated 2 years ago
- Pumilio: A Web-Based Management System for Ecological Recordings☆13Oct 29, 2018Updated 7 years ago
- Util code, issues, discussions☆29Aug 31, 2018Updated 7 years ago
- Speech Emotion Recognition☆28Jun 19, 2020Updated 5 years ago
- A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computin…☆126Aug 29, 2020Updated 5 years ago