GLAM

cider

COVID-19 Identification ResNet using audio samples from crowdsourced data

ComParE2020-Breathing-End2End

This repository contains the code to replicate the End-to-End Deep Sequence Modelling baseline for the Breathing Challenge of the Interspeech 2020 Computational Paralinguistics Challenge (ComParE).

CoughLIME

EmotionalConversionStarGAN

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

multimodal-affect-recognition

This repository contains the code for our Information Fusion paper "End-to-end multimodal affect recognition in real-world environments"

NSL-SER

sample-free-uncertainty-label-smoothing

Moment propagating variational Bayesian sample-free uncertainty for data-specific, targeted label smoothing exemplified at bioacoustic call detection for replicating the results of the article ``Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing''.

semantic_speech_emotion_recognition

This repository contains the code for our ICASSP paper `Speech Emotion Recognition using Semantic Information` https://arxiv.org/pdf/2103.02993.pdf

SoundPrototypeCriticism

Spider-Monkey-Whinny-Detection

Code to replicate the experiments of the Interspeech 2021 paper "Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild".

glam-imperial/EmotionalConversionStarGAN

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

glam-imperial/semantic_speech_emotion_recognition

This repository contains the code for our ICASSP paper `Speech Emotion Recognition using Semantic Information` https://arxiv.org/pdf/2103.02993.pdf

glam-imperial/cider

COVID-19 Identification ResNet using audio samples from crowdsourced data

glam-imperial/multimodal-affect-recognition

This repository contains the code for our Information Fusion paper "End-to-end multimodal affect recognition in real-world environments"

glam-imperial/ComParE2020-Breathing-End2End

This repository contains the code to replicate the End-to-End Deep Sequence Modelling baseline for the Breathing Challenge of the Interspeech 2020 Computational Paralinguistics Challenge (ComParE).

glam-imperial/SoundPrototypeCriticism

glam-imperial/CoughLIME

glam-imperial/NSL-SER

glam-imperial/sample-free-uncertainty-label-smoothing

Moment propagating variational Bayesian sample-free uncertainty for data-specific, targeted label smoothing exemplified at bioacoustic call detection for replicating the results of the article ``Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing''.

glam-imperial/Spider-Monkey-Whinny-Detection

Code to replicate the experiments of the Interspeech 2021 paper "Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild".

glam-imperial/AttHear

AttHear: Explaining Audio Transformers Using Attention-aware NMF

glam-imperial/Bornean-Gibbons-Call-Detection

This repository contains the code for the Interspeech 2020 paper "Computer Audition for Continuous Rainforest Occupancy Monitoring: The Case of Bornean Gibbons' Call Detection"

glam-imperial/informativeness

Code for the ICASSP'19 submission "Modelling Sample Informativeness for Deep Affective Computing".

glam-imperial/asthma-within-class-barlow

glam-imperial/Deep-Breath-From-Speech

This repository contains code to replicate results from the Interspeech 2020 paper "Deep Attentive End-to-End Continuous Breath Sensing from Speech".

glam-imperial/Functional-Music-Generation-Evaluation

glam-imperial/STAA-Net-SER

glam-imperial/TextAug

Code for the CIKM'19 submission "Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification".

glam-imperial/Uncertainty-Aware-Machine-Paper-Reviewing

This repository contains code to replicate results from the Interspeech 2020 paper "Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus".