86 citations · 164 across the 18 of their papers we have counts for
5 papers · 1 filter
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network
Qiang Huang, Thomas Hain
Anomalous audio in speech recordings is often caused by speaker voice distortion, external noise, or even electric interferences. These obstacles have become a serious problem in s…
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models
Qiang Huang, Thomas Hain
Many applications of speech technology require more and more audio data. Automatic assessment of the quality of the collected recordings is important to ensure they meet the requir…
Speaker Re-identification with Speaker Dependent Speech Enhancement
Yanpei Shi, Qiang Huang, Thomas Hain
While the use of deep neural networks has significantly boosted speaker recognition performance, it is still challenging to separate speakers in poor acoustic environments. Here sp…
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification
Yanpei Shi, Qiang Huang, Thomas Hain
Identifying multiple speakers without knowing where a speaker's voice is in a recording is a challenging task. In this paper, a hierarchical attention network is proposed to solve…
Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model
Yanpei Shi, Qiang Huang, Thomas Hain
While the use of deep neural networks has significantly boosted speaker recognition performance, it is still challenging to separate speakers in poor acoustic environments. To impr…