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Found 10 papers, 5 papers with code
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
DHEL simplifies the problem by decoupling the target hyperspherical energy from the alignment of positive examples while preserving the same theoretical guarantees.
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP
There is an imminent need for guidelines and standard test sets to allow direct and fair comparisons of speech emotion recognition (SER).
A Dataset for Greek Traditional and Folk Music: Lyra
The content has been collected from a Greek documentary series that is available online, where academics present music traditions of Greece with live music and dance performance during the show, along with discussions about social, cultural and musicological aspects of the presented music.
A Dataset for Speech Emotion Recognition in Greek Theatrical Plays
Apart from a typical speech-to-text transcription with Automatic Speech Recognition (ASR), Speech Emotion Recognition (SER) can be used to automatically predict the underlying emotional content of speech dialogues in theatrical plays, and thus to provide a deeper understanding how the actors utter their lines.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Unsupervised Multimodal Language Representations using Convolutional Autoencoders
Multimodal Language Analysis is a demanding area of research, since it is associated with two requirements: combining different modalities and capturing temporal information.
Ranked #10 on
Multimodal Sentiment Analysis
on CMU-MOSEI
(using extra training data)
Multimodal Summarization of User-Generated Videos
In this work, we present an approach that uses both aural and visual features in order to create video summaries from user-generated videos.
Unsupervised low-rank representations for speech emotion recognition
We examine the use of linear and non-linear dimensionality reduction algorithms for extracting low-rank feature representations for speech emotion recognition.
Unobtrusive Low Cost Pupil Size Measurements using Web cameras
Finally, the pupil center and radius is estimated by optimal filtering within the area of the iris.
