Perceive and predict: self-supervised speech representation based loss
functions for speech enhancement

Perceive and predict: self-supervised speech representation based loss functions for speech enhancement

11 January 2023

William Ravenscroft

Thomas Hain

Papers citing "Perceive and predict: self-supervised speech representation based loss functions for speech enhancement"

11 / 11 papers shown

Title
Context-Aware Two-Step Training Scheme for Domain Invariant Speech Separation Wupeng Wang Zexu Pan Jingru Lin Shuai Wang Haizhou Li 53 0 0 16 Mar 2025
FINALLY: fast and universal speech enhancement with studio-like quality Nicholas Babaev Kirill Tamogashev Azat Saginbaev Ivan Shchekotov Hanbin Bae Hosang Sung WonJun Lee Hoon-Young Cho Pavel Andreev 24 2 0 08 Oct 2024
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement Robert Sutherland George Close Thomas Hain Stefan Goetze Jon Barker 21 1 0 18 Jul 2024
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition William Ravenscroft George Close Stefan Goetze Thomas Hain Mohammad Soleymanpour Anurag Chowdhury Mark C. Fuhs 24 0 0 13 Jun 2024
Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement George Close William Ravenscroft Thomas Hain Stefan Goetze 25 2 0 14 Dec 2023
Low-latency Real-time Voice Conversion on CPU Konstantine Sadov Matthew Hutter Asara Near VLM 10 1 0 01 Nov 2023
The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss Functions George Close Thomas Hain Stefan Goetze 16 8 0 27 Jul 2023
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations George Close Thomas Hain Stefan Goetze 19 4 0 25 Jul 2023
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications Bastiaan Tamm Helena Balabin Rik Vandenberghe Hugo Van hamme 22 9 0 01 Oct 2022
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech Szu-Wei Fu Cheng Yu Kuo-Hsuan Hung Mirco Ravanelli Yu Tsao 20 46 0 12 Oct 2021
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement Morten Kolbæk Z. Tan S. H. Jensen Jesper Jensen AAML 52 124 0 03 Sep 2019