research
∙
02/11/2021
Disentanglement for audio-visual emotion recognition using multitask setup
Deep learning models trained on audio-visual data have been successfully...
share
research
∙
02/11/2021
Audiovisual Highlight Detection in Videos
In this paper, we test the hypothesis that interesting events in unstruc...
research
∙
11/30/2020
Detecting expressions with multimodal transformers
Developing machine learning algorithms to understand person-to-person en...
research
∙
11/20/2020
Self-Supervised learning with cross-modal transformers for emotion recognition
Emotion recognition is a challenging task due to limited availability of...
research
∙
10/02/2020
Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition
Automatic audio-visual expression recognition can play an important role...
research
∙
09/10/2020
Multi-modal embeddings using multi-task learning for emotion recognition
General embeddings like word2vec, GloVe and ELMo have shown a lot of suc...
research
∙
04/29/2020
Multiresolution and Multimodal Speech Recognition with Transformers
This paper presents an audio visual automatic speech recognition (AV-ASR...
research
∙
02/06/2020
Robust Multi-channel Speech Recognition using Frequency Aligned Network
Conventional speech enhancement technique such as beamforming has known ...
research
∙
02/01/2020
Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning
In this work, we investigated the teacher-student training paradigm to t...
research
∙
02/01/2020
Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression
Recent literature has shown that a learned front end with multi-channel ...
research
∙
03/13/2019
Multi-Geometry Spatial Acoustic Modeling for Distant Speech Recognition
The use of spatial information with multiple microphones can improve far...
research
∙
03/13/2019
Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition
Conventional far-field automatic speech recognition (ASR) systems typica...
research
∙
01/05/2019