FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition

30 June 2022

Papers citing "FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition"

5 / 5 papers shown

Title
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model Zongyang Du Junchen Lu Kun Zhou Lakshmish Kaushik Berrak Sisman 36 1 0 02 May 2024
Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond Jiatong Shi William Chen Dan Berrebbi Hsiu-Hsuan Wang Wei-Ping Huang ... Yuxun Tang Shang-Wen Li Abdelrahman Mohamed Hung-yi Lee Shinji Watanabe LRM ELM 34 15 0 09 Oct 2023
EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios Tejes Srivastava Jiatong Shi William Chen Shinji Watanabe 32 1 0 05 Oct 2023
High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units Junchen Lu Berrak Sisman Mingyang Zhang Haizhou Li 24 4 0 29 Jun 2023
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora Szu-Jui Chen Wei Xia John H. L. Hansen 21 9 0 23 Sep 2021