activity
20182023
most citedGated Recurrent Unit Based Acoustic Modeling with Future Context

5 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SD2023

Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis

Chunyu Qiang, Peng Yang, Hao Che +3

Cross-speaker style transfer in speech synthesis aims at transferring a style from source speaker to synthesized speech of a target speaker's timbre. In most previous methods, the…

cs.SD2022

Style-Label-Free: Cross-Speaker Style Transfer by Quantized VAE and Speaker-wise Normalization in Speech Synthesis

Chunyu Qiang, Peng Yang, Hao Che +2

Cross-speaker style transfer in speech synthesis aims at transferring a style from source speaker to synthesised speech of a target speaker's timbre. Most previous approaches rely…

cs.SD2022

Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation

Chunyu Qiang, Peng Yang, Hao Che +3

Conversion of Chinese Grapheme-to-Phoneme (G2P) plays an important role in Mandarin Chinese Text-To-Speech (TTS) systems, where one of the biggest challenges is the task of polypho…

eess.AS2022

Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition

Ye Bai, Jie Li, Wenjing Han +5

While transformers and their variant conformers show promising performance in speech recognition, the parameterized property leads to much memory cost during training and inference…

cs.SD2021★ 2 cited

SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification

Wentao Zhu, Tianlong Kong, Shun Lu +6

Recently, x-vector has been a successful and popular approach for speaker verification, which employs a time delay neural network (TDNN) and statistics pooling to extract speaker c…

cs.CL2021

Dynamic Multi-scale Convolution for Dialect Identification

Tianlong Kong, Shouyi Yin, Dawei Zhang +6

Time Delay Neural Networks (TDNN)-based methods are widely used in dialect identification. However, in previous work with TDNN application, subtle variant is being neglected in dif…