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20102023
most citedCan Large Language Models Be an Alternative to Human Evaluations?

36 citations · 273 across the 72 of their papers we have counts for

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24 papers · 1 filter

cs.SD2023

The defender's perspective on automatic speaker verification: An overview

Haibin Wu, Jiawen Kang, Lingwei Meng +2

Automatic speaker verification (ASV) plays a critical role in security-sensitive environments. Regrettably, the reliability of ASV has been undermined by the emergence of spoofing…

cs.SD2023

ML-SUPERB: Multilingual Speech Universal PERformance Benchmark

Jiatong Shi, Dan Berrebbi, William Chen +8

Speech processing Universal PERformance Benchmark (SUPERB) is a leaderboard to benchmark the performance of Self-Supervised Learning (SSL) models on various speech processing tasks…

cs.SD2023

Personalized Lightweight Text-to-Speech: Voice Cloning with Adaptive Structured Pruning

Sung-Feng Huang, Chia-ping Chen, Zhi-Sheng Chen +2

Personalized TTS is an exciting and highly desired application that allows users to train their TTS voice using only a few recordings. However, TTS training typically requires many…

cs.SD2022

Improving generalizability of distilled self-supervised speech processing models under distorted settings

Kuan-Po Huang, Yu-Kuan Fu, Tsu-Yuan Hsu +5

Self-supervised learned (SSL) speech pre-trained models perform well across various speech processing tasks. Distilled versions of SSL models have been developed to match the needs…

cs.SD2022

Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection

Xuanjun Chen, Haibin Wu, Helen Meng +2

Audio-visual active speaker detection (AVASD) is well-developed, and now is an indispensable front-end for several multi-modal applications. However, to the best of our knowledge,…

cs.SD20221 cited

Spoofing-Aware Speaker Verification by Multi-Level Fusion

Haibin Wu, Lingwei Meng, Jiawen Kang +5

Recently, many novel techniques have been introduced to deal with spoofing attacks, and achieve promising countermeasure (CM) performances. However, these works only take the stand…