Haibin Wu | DeepAI

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∙ 09/19/2023

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models

Audio-visual representation learning aims to develop systems with human-...

0 Yuan Tseng, et al. ∙

∙ 09/18/2023

Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech

Text language models have shown remarkable zero-shot capability in gener...

0 Chien-yu Huang, et al. ∙

∙ 06/03/2023

SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Large language models (LLMs) have gained considerable attention for Arti...

0 Haibin Wu, et al. ∙

∙ 05/25/2023

Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator

Multi-talker overlapped speech poses a significant challenge for speech ...

0 Lingwei Meng, et al. ∙

∙ 05/22/2023

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

Automatic speaker verification (ASV) plays a critical role in security-s...

0 Haibin Wu, et al. ∙

∙ 01/11/2023

Rethinking complex-valued deep neural networks for monaural speech enhancement

Despite multiple efforts made towards adopting complex-valued deep neura...

0 Haibin Wu, et al. ∙

∙ 10/27/2022

Multimodal Transformer Distillation for Audio-Visual Synchronization

Audio-visual synchronization aims to determine whether the mouth movemen...

0 Xuanjun Chen, et al. ∙

∙ 10/16/2022

SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning

We present the SUPERB challenge at SLT 2022, which aims at learning self...

0 Tzu-hsun Feng, et al. ∙

∙ 10/03/2022

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

Audio-visual active speaker detection (AVASD) is well-developed, and now...

0 Xuanjun Chen, et al. ∙

∙ 05/31/2022

Human-AI Shared Control via Frequency-based Policy Dissection

Human-AI shared control allows human to interact and collaborate with AI...

0 Quanyi Li, et al. ∙

∙ 03/29/2022

Spoofing-Aware Speaker Verification by Multi-Level Fusion

Recently, many novel techniques have been introduced to deal with spoofi...

0 Haibin Wu, et al. ∙

∙ 02/14/2022

Partially Fake Audio Detection by Self-attention-based Fake Span Discovery

The past few years have witnessed the significant advances of speech syn...

0 Haibin Wu, et al. ∙

∙ 02/04/2022

The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

This paper describes our speaker diarization system submitted to the Mul...

0 Naijun Zheng, et al. ∙

∙ 11/08/2021

Characterizing the adversarial vulnerability of speech self-supervised learning

A leaderboard named Speech processing Universal PERformance Benchmark (S...

0 Haibin Wu, et al. ∙

∙ 06/15/2021

Voting for the right answer: Adversarial defense for speaker verification

Automatic speaker verification (ASV) is a well developed technology for ...

0 Haibin Wu, et al. ∙

∙ 06/01/2021

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning

Previous works have shown that automatic speaker verification (ASV) is s...

0 Haibin Wu, et al. ∙

∙ 04/21/2021

Tackling Variabilities in Autonomous Driving

The state-of-the-art driving automation system demands extreme computati...

9 Yuqiong Qi, et al. ∙

∙ 02/14/2021

Adversarial defense for automatic speaker verification by cascaded self-supervised learning models

Automatic speaker verification (ASV) is one of the core technologies in ...

0 Haibin Wu, et al. ∙

∙ 02/06/2021

RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

In recent years, Multi-Agent Reinforcement Learning (MARL) has revolutio...

0 Jian Hu, et al. ∙

∙ 09/09/2020

QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning

In Cooperative Multi-Agent Reinforcement Learning (MARL) and under the s...

7 Jian Hu, et al. ∙

∙ 06/05/2020

Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning

High-performance anti-spoofing models for automatic speaker verification...

0 Haibin Wu, et al. ∙

∙ 03/06/2020

Defense against adversarial attacks on spoofing countermeasures of ASV

Various forefront countermeasure methods for automatic speaker verificat...

0 Haibin Wu, et al. ∙

∙ 10/19/2019

Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification

High-performance spoofing countermeasure systems for automatic speaker v...

0 Songxiang Liu, et al. ∙

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