49 citations · 99 across the 30 of their papers we have counts for
7 papers · 1 filter
Monaural source separation: From anechoic to reverberant environments
Tobias Cord-Landwehr, Christoph Boeddeker, Thilo von Neumann +3
Impressive progress in neural network-based single-channel speech source separation has been made in recent years. But those improvements have been mostly reported on anechoic data…
Towards Handling Unconstrained User Preferences in Dialogue
Suraj Pandey, Svetlana Stoyanchev, Rama Doddipatla
A user input to a schema-driven dialogue information navigation system, such as venue search, is typically constrained by the underlying database which restricts the user to specif…
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation
Jisi Zhang, Catalin Zorila, Rama Doddipatla +1
In this paper, we introduce a novel semi-supervised learning framework for end-to-end speech separation. The proposed method first uses mixtures of unseparated sources and the mixt…
Head-synchronous Decoding for Transformer-based Streaming ASR
Mohan Li, Catalin Zorila, Rama Doddipatla
Online Transformer-based automatic speech recognition (ASR) systems have been extensively studied due to the increasing demand for streaming applications. Recently proposed Decoder…
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition
Cong-Thanh Do, Rama Doddipatla, Thomas Hain
This paper proposes an adaptation method for end-to-end speech recognition. In this method, multiple automatic speech recognition (ASR) 1-best hypotheses are integrated in the comp…
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…
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
Jisi Zhang, Catalin Zorila, Rama Doddipatla +1
In this paper, we present a novel multi-channel speech extraction system to simultaneously extract multiple clean individual sources from a mixture in noisy and reverberant environ…