500 citations · 615 across the 12 of their papers we have counts for
6 papers · 1 filter
Improving the fusion of acoustic and text representations in RNN-T
Chao Zhang, Bo Li, Zhiyun Lu +2
The recurrent neural network transducer (RNN-T) has recently become the mainstream end-to-end approach for streaming automatic speech recognition (ASR). To estimate the output dist…
Combining Frame-Synchronous and Label-Synchronous Systems for Speech Recognition
Qiujia Li, Chao Zhang, Philip C. Woodland
Commonly used automatic speech recognition (ASR) systems can be classified into frame-synchronous and label-synchronous categories, based on whether the speech is decoded on a per-…
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis
Guanghui Xu, Wei Song, Zhengchen Zhang +3
Despite prosody is related to the linguistic information up to the discourse structure, most text-to-speech (TTS) systems only take into account that within each sentence, which ma…
Neural Kalman Filtering for Speech Enhancement
Wei Xue, Gang Quan, Chao Zhang +3
Statistical signal processing based speech enhancement methods adopt expert knowledge to design the statistical models and linear filters, which is complementary to the deep neural…
Improved Large-margin Softmax Loss for Speaker Diarisation
Yassir Fathullah, Chao Zhang, Philip C. Woodland
Speaker diarisation systems nowadays use embeddings generated from speech segments in a bottleneck layer, which are needed to be discriminative for unseen speakers. It is well-know…
Multi-Span Acoustic Modelling using Raw Waveform Signals
Patrick von Platen, Chao Zhang, Philip Woodland
Traditional automatic speech recognition (ASR) systems often use an acoustic model (AM) built on handcrafted acoustic features, such as log Mel-filter bank (FBANK) values. Recent s…