3 citations · 5 across the 17 of their papers we have counts for
6 papers · 1 filter
Modelling Emotions is an Elusive Pursuit in Affective Computing
Anders Rolighed Larsen, Sneha Das, Nicole Nadine Lønfeldt +2
Affective computing - combining sensor technology, machine learning, and psychology - have been studied for over three decades and is employed in AI-powered technologies to enhance…
Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective
Anna Leschanowsky, Sneha Das
Speech technology has been increasingly deployed in various areas of daily life including sensitive domains such as healthcare and law enforcement. For these technologies to be eff…
Exploratory Evaluation of Speech Content Masking
Jennifer Williams, Karla Pizzi, Paul-Gauthier Noe +1
Most recent speech privacy efforts have focused on anonymizing acoustic speaker attributes but there has not been as much research into protecting information from speech content.…
On Crowdsourcing-design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms
Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen +1
Speech enhancement techniques improve the quality or the intelligibility of an audio signal by removing unwanted noise. It is used as preprocessing in numerous applications such as…
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages
Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt +2
Speech emotion recognition~(SER) refers to the technique of inferring the emotional state of an individual from speech signals. SERs continue to garner interest due to their wide a…
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations
Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg +1
In recent years, speech emotion recognition (SER) has been used in wide ranging applications, from healthcare to the commercial sector. In addition to signal processing approaches,…