216 citations · 372 across the 23 of their papers we have counts for
11 papers · 1 filter
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach
Anbai Jiang, Wei-Qiang Zhang, Yufeng Deng +2
Automatic detection of machine anomaly remains challenging for machine learning. We believe the capability of generative adversarial network (GAN) suits the need of machine audio a…
Exploring Effective Fusion Algorithms for Speech Based Self-Supervised Learning Models
Changli Tang, Yujin Wang, Xie Chen +1
Self-supervised learning (SSL) has achieved great success in various areas including speech processing. Recently, it is proven that speech based SSL models are able to extract supe…
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Jiadi Yao, Xing Chen, Xiao-Lei Zhang +2
Adversarial attack approaches to speaker identification either need high computational cost or are not very effective, to our knowledge. To address this issue, in this paper, we pr…
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement
Yuzi Yan, Wei-Qiang Zhang, Michael T. Johnson
As the cornerstone of other important technologies, such as speech recognition and speech synthesis, speech enhancement is a critical area in audio signal processing. In this paper…
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style
Yuzi Yan, Xu Tan, Bohan Li +6
While recent text to speech (TTS) models perform very well in synthesizing reading-style (e.g., audiobook) speech, it is still challenging to synthesize spontaneous-style speech (e…
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
Lanqing Xue, Kaitao Song, Duocai Wu +5
Rap generation, which aims to produce lyrics and corresponding singing beats, needs to model both rhymes and rhythms. Previous works for rap generation focused on rhyming lyrics bu…
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Guoguo Chen, Shuzhou Chai, Guanbo Wang +18
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and…
Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection
Ke-Xin He, Yu-Han Shen, Wei-Qiang Zhang
Sound event detection with weakly labeled data is considered as a problem of multi-instance learning. And the choice of pooling function is the key to solving this problem. In this…
SAM-GCNN: A Gated Convolutional Neural Network with Segment-Level Attention Mechanism for Home Activity Monitoring
Yu-Han Shen, Ke-Xin He, Wei-Qiang Zhang
In this paper, we propose a method for home activity monitoring. We demonstrate our model on dataset of Detection and Classification of Acoustic Scenes and Events (DCASE) 2018 Chal…
Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection
Yu-Han Shen, Ke-Xin He, Wei-Qiang Zhang
In this paper, we propose a temporal-frequential attention model for sound event detection (SED). Our network learns how to listen with two attention models: a temporal attention m…
Investigation of Frame Alignments for GMM-based Digit-prompted Speaker Verification
Yi Liu, Liang He, Weiqiang Zhang +2
Frame alignments can be computed by different methods in GMM-based speaker verification. By incorporating a phonetic Gaussian mixture model (PGMM), we are able to compare the perfo…