most citedBYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

10 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2024

Incorporating Talker Identity Aids With Improving Speech Recognition in Adversarial Environments

Sagarika Alavilli, Annesya Banerjee, Gasser Elbanna +1

Current state-of-the-art speech recognition models are trained to map acoustic signals into sub-lexical units. While these models demonstrate superior performance, they remain vuln…

cs.SD2024★ 1 cited

Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features

Satvik Dixit, Daniel M. Low, Gasser Elbanna +2

Pre-trained deep learning embeddings have consistently shown superior performance over handcrafted acoustic features in speech emotion recognition (SER). However, unlike acoustic f…

eess.AS2024

Evaluating Speaker Identity Coding in Self-supervised Models and Humans

Gasser Elbanna

Speaker identity plays a significant role in human communication and is being increasingly used in societal applications, many through advances in machine learning. Speaker identit…

cs.SD2024

Predicting Heart Activity from Speech using Data-driven and Knowledge-based features

Gasser Elbanna, Zohreh Mostaani, Mathew Magimai. -Doss

Accurately predicting heart activity and other biological signals is crucial for diagnosis and monitoring. Given that speech is an outcome of multiple physiological systems, a sign…

eess.AS2022★ 2 cited

Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings

Karl El Hajal, Zihan Wu, Neil Scheidwasser-Clow +2

Automatic speech quality assessment is essential for audio researchers, developers, speech and language pathologists, and system quality engineers. The current state-of-the-art sys…

cs.SD2022★ 10 cited

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler +3

Methods for extracting audio and speech features have been studied since pioneering work on spectrum analysis decades ago. Recent efforts are guided by the ambition to develop gene…

cs.SD2022★ 7 cited

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow +5

As a neurophysiological response to threat or adverse conditions, stress can affect cognition, emotion and behaviour with potentially detrimental effects on health in the case of s…