43 citations · 48 across the 5 of their papers we have counts for
5 papers
Voice Biomarkers for Depression and Anxiety
Oleksii Abramenko, Noah D. Stein, Colin Vaz
Current approaches to detecting depression and anxiety from speech primarily rely on machine learning techniques that utilize hand-engineered paralinguistic features and related ac…
Two-pass Endpoint Detection for Speech Recognition
Anirudh Raju, Aparna Khare, Di He +9
Endpoint (EP) detection is a key component of far-field speech recognition systems that assist the user through voice commands. The endpoint detector has to trade-off between accur…
Adaptive Endpointing with Deep Contextual Multi-armed Bandits
Do June Min, Andreas Stolcke, Anirudh Raju +4
Current endpointing (EP) solutions learn in a supervised framework, which does not allow the model to incorporate feedback and improve in an online setting. Also, it is a common pr…
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images
Yongwan Lim, Asterios Toutios, Yannick Bliesener +16
Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development…
Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features
Kunal Dhawan, Colin Vaz, Ruchir Travadi +1
We propose an algorithm to extract noise-robust acoustic features from noisy speech. We use Total Variability Modeling in combination with Non-negative Matrix Factorization (NMF) t…