Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
☆33Dec 4, 2020Updated 5 years ago
Alternatives and similar repositories for modulated_fusion_transformer
Users that are interested in modulated_fusion_transformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis☆129Feb 25, 2025Updated last year
- Implementation of the multi-time-scale convolution layer used in the paper Multi-Time-Scale Convolution for Emotion Recognition from Spee…☆11Oct 22, 2019Updated 7 years ago
- The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.☆124Sep 20, 2021Updated 5 years ago
- ☆14Aug 24, 2018Updated 8 years ago
- A Tensorflow implementation of Speech Emotion Recognition using Audio signals and Text Data☆12May 16, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Pytorch implementation of emotion recognition from videos☆18Sep 15, 2020Updated 6 years ago
- Multimodal Affective Analysis Using Hierarchical Attention Strategy☆12Dec 7, 2018Updated 7 years ago
- TensorFlow implementation of "Attentive Modality Hopping for Speech Emotion Recognition," ICASSP-20☆34Aug 10, 2020Updated 6 years ago
- This repository contains the code for our ICASSP paper `Speech Emotion Recognition using Semantic Information` https://arxiv.org/pdf/2103…☆27Mar 18, 2021Updated 5 years ago
- Multimodal Fusion, Multimodal Sentiment Analysis☆25Jun 20, 2020Updated 6 years ago
- Multimodal Transformer for Korean Sentiment Analysis with Audio and Text Features☆28Sep 7, 2021Updated 5 years ago
- ☆17Nov 30, 2021Updated 4 years ago
- Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.☆11Oct 19, 2020Updated 6 years ago
- Multimodal preprocessing on IEMOCAP dataset☆13Jun 8, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆18May 7, 2020Updated 6 years ago
- cross-modal model between audio(MFCC) and text(KoBERT)☆12Jan 14, 2021Updated 5 years ago
- Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit☆13Nov 18, 2022Updated 3 years ago
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆121Feb 26, 2021Updated 5 years ago
- Official PyTorch implementation of Multilogue-Net (Best paper runner-up at Challenge-HML @ ACL 2020)☆58Dec 8, 2022Updated 3 years ago
- This is the code for controllable EVC framework for seen and unseen emotion generation.☆45Nov 3, 2021Updated 5 years ago
- Source code for ACL-IJCNLP 2021 paper "DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations".☆62Oct 24, 2023Updated 3 years ago
- Multimodal short video classification task, integrating video, image, audio and text modes for short video classification☆20Mar 12, 2020Updated 6 years ago
- Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.☆30Sep 2, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multi-modal Speech Emotion Recogniton on IEMOCAP dataset☆96Jul 6, 2023Updated 3 years ago
- Source code for ICASSP 2022 paper "MM-DFN: Multimodal Dynamic Fusion Network For Emotion Recognition in Conversations".☆95Apr 21, 2023Updated 3 years ago
- This paper has been accepted in ACM ICMR 2021.☆20Nov 17, 2025Updated 11 months ago
- Multimodal classification solution for the SIGIR eCOM using Co-attention and transformer language models☆19Aug 17, 2020Updated 6 years ago
- This repository contains the implementation of the paper -- Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment An…☆73Apr 16, 2023Updated 3 years ago
- ☆219Dec 5, 2021Updated 4 years ago
- Codes for paper "Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation" published in ECML-PKDD 2022…☆16Jul 6, 2022Updated 4 years ago
- ☆18Jan 18, 2024Updated 2 years ago
- Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"☆80Jun 16, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Pytorch implementation for Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition☆65Nov 16, 2022Updated 3 years ago
- ☆27Oct 7, 2021Updated 5 years ago
- Code for our paper "Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention" (ICASSP 2021, co-first authorship)☆28Jun 8, 2021Updated 5 years ago
- [ICASSP 2020] Speech Emotion Recognition with Dual-Sequence LSTM Architecture☆12Jan 17, 2025Updated last year
- PyTorch implementation of the models described in the IEEE ICASSP 2022 paper "Is cross-attention preferable to self-attention for multi-m…☆66Mar 29, 2025Updated last year
- This is a short tutorial for using the CMU-MultimodalSDK.☆87Mar 20, 2019Updated 7 years ago
- Example python scripts to evaluate various ASR methods☆11Dec 22, 2021Updated 4 years ago