17 citations · 60 across the 28 of their papers we have counts for
6 papers · 1 filter
Mask-combine Decoding and Classification Approach for Punctuation Prediction with real-time Inference Constraints
Christoph Minixhofer, Ondřej Klejch, Peter Bell
In this work, we unify several existing decoding strategies for punctuation prediction in one framework and introduce a novel strategy which utilises multiple predictions at each w…
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR
Ondrej Klejch, Electra Wallington, Peter Bell
We present a method for cross-lingual training an ASR system using absolutely no transcribed training data from the target language, and with no phonetic knowledge of the language…
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition
Yuanchao Li, Peter Bell, Catherine Lai
Alongside acoustic information, linguistic features based on speech transcripts have been proven useful in Speech Emotion Recognition (SER). However, due to the scarcity of emotion…
It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system
Sarenne Wallbridge, Peter Bell, Catherine Lai
People convey information extremely effectively through spoken interaction using multiple channels of information transmission: the lexical channel of what is said, and the non-lex…
Segmenting Subtitles for Correcting ASR Segmentation Errors
David Wan, Chris Kedzie, Faisal Ladhak +6
Typical ASR systems segment the input audio into utterances using purely acoustic information, which may not resemble the sentence-like units that are expected by conventional mach…
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
Shucong Zhang, Cong-Thanh Do, Rama Doddipatla +3
Although the lower layers of a deep neural network learn features which are transferable across datasets, these layers are not transferable within the same dataset. That is, in gen…