Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition
Towards End-to-End Speech Recognition
Multi-task learning in deep neural networks for improved phoneme recognition
Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition
A Comparison of Sequence-to-Sequence Models for Speech Recognition
Convolutional Neural Networks for Speech Recognition
Robust Speech Recognition Using Generative Adversarial Networks
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
End-to-end attention-based large vocabulary speech recognition
Fully Convolutional Speech Recognition
Bidirectional recurrent neural network language models for automatic speech recognition
Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition
Hidden Markov models for speech recognition
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models
Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections
Exploring convolutional neural network structures and optimization techniques for speech recognition.
A Joint Training Framework for Robust Automatic Speech Recognition
Convolutional Neural Networks for Speech Recognition
V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization
Improving trace accuracy through data-driven configuration and composition of tracing features
Measuring Perceived Usability: The SUS, UMUX-LITE, and AltUsability
Engagement with online mental health interventions: an exploratory clinical study of a treatment for depression