370 citations · 875 across the 27 of their papers we have counts for
7 papers · 1 filter
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
Zhenpeng Su, Xing Wu, Wei Zhou +2
Dialogue response selection aims to select an appropriate response from several candidates based on a given user and system utterance history. Most existing works primarily focus o…
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition
Wei Zhou, Eugen Beck, Simon Berger +2
Modern public ASR tools usually provide rich support for training various sequence-to-sequence (S2S) models, but rather simple support for decoding open-vocabulary scenarios only.…
Monotonic segmental attention for automatic speech recognition
Albert Zeyer, Robin Schmitt, Wei Zhou +2
We introduce a novel segmental-attention model for automatic speech recognition. We restrict the decoder attention to segments to avoid quadratic runtime of global attention, bette…
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
Yinan Bao, Qianwen Ma, Lingwei Wei +2
The emotion recognition in conversation (ERC) task aims to predict the emotion label of an utterance in a conversation. Since the dependencies between speakers are complex and dyna…
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features
Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya +4
One of the key communicative competencies is the ability to maintain fluency in monologic speech and the ability to produce sophisticated language to argue a position convincingly.…
On Language Model Integration for RNN Transducer based Speech Recognition
Wei Zhou, Zuoyun Zheng, Ralf Schlüter +1
The mismatch between an external language model (LM) and the implicitly learned internal LM (ILM) of RNN-Transducer (RNN-T) can limit the performance of LM integration such as simp…
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
Binlong Zhang, Wei Zhou
Chinese sentiment analysis (CSA) has always been one of the challenges in natural language processing due to its complexity and uncertainty. Transformer has succeeded in capturing…