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20182024
most citedRelation Modeling with Graph Convolutional Networks for Facial Action Unit Detection

87 citations · 152 across the 23 of their papers we have counts for

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11 papers · 1 filter

cs.SD2023

Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions

Yang Liu, Haoqin Sun, Geng Chen +4

Speech emotion recognition (SER) performance deteriorates significantly in the presence of noise, making it challenging to achieve competitive performance in noisy conditions. To t…

cs.SD2023

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

Cheng Gong, Xin Wang, Erica Cooper +5

Neural text-to-speech (TTS) has achieved human-like synthetic speech for single-speaker, single-language synthesis. Multilingual TTS systems are limited to resource-rich languages…

cs.SD2023

High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models

Chunyu Qiang, Hao Li, Yixin Tian +4

Text-to-speech (TTS) methods have shown promising results in voice cloning, but they require a large number of labeled text-speech pairs. Minimally-supervised speech synthesis deco…

cs.SD2023

Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding

Chunyu Qiang, Hao Li, Hao Ni +5

Recently, there has been a growing interest in text-to-speech (TTS) methods that can be trained with minimal supervision by combining two types of discrete speech representations a…

cs.SD2023

Rethinking the visual cues in audio-visual speaker extraction

Junjie Li, Meng Ge, Zexu pan +4

The Audio-Visual Speaker Extraction (AVSE) algorithm employs parallel video recording to leverage two visual cues, namely speaker identity and synchronization, to enhance performan…

cs.SD2023

speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition

Haoyu Lu, Nan Li, Tongtong Song +4

In recent years, the joint training of speech enhancement front-end and automatic speech recognition (ASR) back-end has been widely used to improve the robustness of ASR systems. T…