68 citations · 117 across the 4 of their papers we have counts for
6 papers
Online Continual Learning of End-to-End Speech Recognition Models
Muqiao Yang, Ian Lane, Shinji Watanabe
Continual Learning, also known as Lifelong Learning, aims to continually learn from new data as it becomes available. While prior research on continual learning in automatic speech…
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Yifan Peng, Siddharth Dalmia, Ian Lane +1
Conformer has proven to be effective in many speech processing tasks. It combines the benefits of extracting local dependencies using convolutions and global dependencies using sel…
Dialog Context Language Modeling with Recurrent Neural Networks
Bing Liu, Ian Lane
In this work, we propose contextual language models that incorporate dialog level discourse information into language modeling. Previous works on contextual language model treat pr…
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
Bing Liu, Ian Lane
Speaker intent detection and semantic slot filling are two critical tasks in spoken language understanding (SLU) for dialogue systems. In this paper, we describe a recurrent neural…
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Bing Liu, Ian Lane
Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention-bas…
Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording
Benjamin Elizalde, Anurag Kumar, Ankit Shah +4
In this paper we present our work on Task 1 Acoustic Scene Classi- fication and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments we have low-level and hi…