310 citations
- École Polytechnique Fédérale de LausanneCH87 papers
- Institut Denis PoissonFR42 papers
- Université de ToursFR37 papers
- Université d'OrléansFR37 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Brno University of TechnologyCZ7 papers
- CERMICSFR7 papers
- University of ManchesterGB7 papers
- Italian Institute of TechnologyIT6 papers
- Queen Mary University of LondonGB6 papers
- University of BernCH6 papers
- Institute for Scientific and Technological ResearchMX5 papers
15 papers · 1 filter
Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection
Sergio Burdisso, Esaú Villatoro-Tello, Shashi Kumar +7
LLM-based automatic speech recognition (ASR), a well-established approach, connects speech foundation models to large language models (LLMs) through a speech-to-LLM projector, yiel…
On feature representations for marmoset vocal communication analysis
Eklavya Sarkar, Kaja Wierucka, Alexandra B. Bosshard +2
The acoustic analysis of marmoset (Callithrix jacchus) vocalizations is often used to understand the evolutionary origins of human language. Currently, the analysis is largely carr…
Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications
Shakeel A. Sheikh, Md. Sahidullah, Ina Kodrasi
Advancements in spoken language technologies for neurodegenerative speech disorders are crucial for meeting both clinical and technological needs. This overview paper is vital for…
Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering
Eklavya Sarkar, RaviShankar Prasad, Mathew Magimai. -Doss
Voice activity detection (VAD) is an important pre-processing step for speech technology applications. The task consists of deriving segment boundaries of audio signals which conta…
Temporal envelope and fine structure cues for dysarthric speech detection using CNNs
Ina Kodrasi
Deep learning-based techniques for automatic dysarthric speech detection have recently attracted interest in the research community. State-of-the-art techniques typically learn neu…
Supervised Speech Representation Learning for Parkinson's Disease Classification
Parvaneh Janbakhshi, Ina Kodrasi
Recently proposed automatic pathological speech classification techniques use unsupervised auto-encoders to obtain a high-level abstract representation of speech. Since these repre…