Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications

1 October 2022

Papers citing "Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications"

8 / 8 papers shown

Title
SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models Chun Yin Tai-Shih Chi Yu Tsao Hsin-Min Wang 37 0 0 12 Jun 2024
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users using Intermediate ASR Features and Human Memory Models Rhiannon Mogridge George Close Robert Sutherland Thomas Hain Jon Barker Stefan Goetze Anton Ragni 15 9 0 24 Jan 2024
Analysis of XLS-R for Speech Quality Assessment Bastiaan Tamm Rik Vandenberghe Hugo Van hamme 27 3 0 23 Aug 2023
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations George Close Thomas Hain Stefan Goetze 31 4 0 25 Jul 2023
On the Use of Self-Supervised Speech Representations in Spontaneous Speech Synthesis Siyang Wang G. Henter Joakim Gustafson Éva Székely 50 5 0 11 Jul 2023
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement George Close William Ravenscroft Thomas Hain Stefan Goetze SSL 38 12 0 11 Jan 2023
Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings Karl El Hajal Zihan Wu Neil Scheidwasser Gasser Elbanna Milos Cernak 23 9 0 12 Nov 2022
Voices Obscured in Complex Environmental Settings (VOICES) corpus Colleen Richey Maria Artigas Zeb Armstrong C. Bartels H. Franco ... Julien van Hout Paul Gamble Jeff Hetherly Cory Stephenson Karl S. Ni 45 126 0 13 Apr 2018