77 citations · 243 across the 31 of their papers we have counts for
6 papers · 1 filter
Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition
Peng Shen, Xugang Lu, Hisashi Kawai
For Mandarin end-to-end (E2E) automatic speech recognition (ASR) tasks, compared to character-based modeling units, pronunciation-based modeling units could improve the sharing of…
Transducer-based language embedding for spoken language identification
Peng Shen, Xugang Lu, Hisashi Kawai
The acoustic and linguistic features are important cues for the spoken language identification (LID) task. Recent advanced LID systems mainly use acoustic features that lack the us…
Partial Coupling of Optimal Transport for Spoken Language Identification
Xugang Lu, Peng Shen, Yu Tsao +1
In order to reduce domain discrepancy to improve the performance of cross-domain spoken language identification (SLID) system, as an unsupervised domain adaptation (UDA) method, we…
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding
Ruiteng Zhang, Jianguo Wei, Xugang Lu +6
Speaker embedding is an important front-end module to explore discriminative speaker features for many speech applications where speaker information is needed. Current SOTA backbon…
Perceptual Contrast Stretching on Target Feature for Speech Enhancement
Rong Chao, Cheng Yu, Szu-Wei Fu +2
Speech enhancement (SE) performance has improved considerably owing to the use of deep learning models as a base function. Herein, we propose a perceptual contrast stretching (PCS)…
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement
Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate +5
In acoustic signal processing, the target signals usually carry semantic information, which is encoded in a hierarchal structure of short and long-term contexts. However, the backg…