93 citations · 526 across the 105 of their papers we have counts for
19 papers · 2 filters
Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network
Xiong Cai, Zhiyong Wu, Kuo Zhong +3
By using deep learning approaches, Speech Emotion Recog-nition (SER) on a single domain has achieved many excellentresults. However, cross-domain SER is still a challenging taskdue…
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition
Shoukang Hu, Xurong Xie, Shansong Liu +5
Discriminative training techniques define state-of-the-art performance for automatic speech recognition systems. However, they are inherently prone to overfitting, leading to poor…
Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization
Disong Wang, Jianwei Yu, Xixin Wu +3
Dysarthric speech recognition is a challenging task as dysarthric data is limited and its acoustics deviate significantly from normal speech. Model-based speaker adaptation is a pr…
Audio-visual Multi-channel Integration and Recognition of Overlapped Speech
Jianwei Yu, Shi-Xiong Zhang, Bo Wu +6
Automatic speech recognition (ASR) technologies have been significantly advanced in the past few decades. However, recognition of overlapped speech remains a highly challenging tas…
FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation
Songxiang Liu, Yuewen Cao, Na Hu +2
This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC) system, which can achieve high conversion performance, with inference speed 4x faster than r…
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion
Disong Wang, Songxiang Liu, Lifa Sun +3
Though significant progress has been made for the voice conversion (VC) of typical speech, VC for atypical speech, e.g., dysarthric and second-language (L2) speech, remains a chall…
Replay and Synthetic Speech Detection with Res2net Architecture
Xu Li, Na Li, Chao Weng +4
Existing approaches for replay and synthetic speech detection still lack generalizability to unseen spoofing attacks. This work proposes to leverage a novel model structure, so-cal…
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition
Xiong Cai, Dongyang Dai, Zhiyong Wu +3
Neural text-to-speech (TTS) approaches generally require a huge number of high quality speech data, which makes it difficult to obtain such a dataset with extra emotion labels. In…
Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling
Songxiang Liu, Yuewen Cao, Disong Wang +3
This paper proposes an any-to-many location-relative, sequence-to-sequence (seq2seq), non-parallel voice conversion approach, which utilizes text supervision during training. In th…
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks
Shoukang Hu, Xurong Xie, Shansong Liu +4
Deep neural networks (DNNs) based automatic speech recognition (ASR) systems are often designed using expert knowledge and empirical evaluation. In this paper, a range of neural ar…
Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams
Huirong Huang, Zhiyong Wu, Shiyin Kang +9
Generating 3D speech-driven talking head has received more and more attention in recent years. Recent approaches mainly have following limitations: 1) most speaker-independent meth…
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification
Xu Li, Na Li, Jinghua Zhong +5
Recently adversarial attacks on automatic speaker verification (ASV) systems attracted widespread attention as they pose severe threats to ASV systems. However, methods to defend a…
Transferring Source Style in Non-Parallel Voice Conversion
Songxiang Liu, Yuewen Cao, Shiyin Kang +5
Voice conversion (VC) techniques aim to modify speaker identity of an utterance while preserving the underlying linguistic information. Most VC approaches ignore modeling of the sp…
Audio-visual Multi-channel Recognition of Overlapped Speech
Jianwei Yu, Bo Wu, Rongzhi Gu +7
Automatic speech recognition (ASR) of overlapped speech remains a highly challenging task to date. To this end, multi-channel microphone array data are widely used in state-of-the-…
Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification
Xu Li, Jinghua Zhong, Jianwei Yu +4
Speaker verification systems usually suffer from the mismatch problem between training and evaluation data, such as speaker population mismatch, the channel and environment variati…
Multi-Target Emotional Voice Conversion With Neural Vocoders
Songxiang Liu, Yuewen Cao, Helen Meng
Emotional voice conversion (EVC) is one way to generate expressive synthetic speech. Previous approaches mainly focused on modeling one-to-one mapping, i.e., conversion from one em…
Emotional Voice Conversion With Cycle-consistent Adversarial Network
Songxiang Liu, Yuewen Cao, Helen Meng
Emotional Voice Conversion, or emotional VC, is a technique of converting speech from one emotion state into another one, keeping the basic linguistic information and speaker ident…
Defense against adversarial attacks on spoofing countermeasures of ASV
Haibin Wu, Songxiang Liu, Helen Meng +1
Various forefront countermeasure methods for automatic speaker verification (ASV) with considerable performance in anti-spoofing are proposed in the ASVspoof 2019 challenge. Howeve…
Audio-visual Recognition of Overlapped speech for the LRS2 dataset
Jianwei Yu, Shi-Xiong Zhang, Jian Wu +7
Automatic recognition of overlapped speech remains a highly challenging task to date. Motivated by the bimodal nature of human speech perception, this paper investigates the use of…