Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models
Multilingual acoustic models using distributed deep neural networks
Concept Transfer Learning for Adaptive Language Understanding
Active Deep Networks for Semi-Supervised Sentiment Classification
Forward-Backward Convolutional LSTM for Acoustic Modeling.
Language Transfer of Audio Word2Vec: Learning Audio Segment Representations Without Target Language Data
Semi-supervised sequence tagging with bidirectional language models
Unsupervised neural and Bayesian models for zero-resource speech processing
A probabilistic latent variable model for acoustic modeling
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction
Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization.
Unsupervised learning in cross-corpus acoustic emotion recognition
A Bit of Progress in Language Modeling
A deep scattering spectrum — Deep Siamese network pipeline for unsupervised acoustic modeling
A Comparison of Sequence-to-Sequence Models for Speech Recognition
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition
Improving ASR error detection with non-decoder based features.
A Joint Training Framework for Robust Automatic Speech Recognition
Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach
Using different acoustic, lexical and language modeling units for ASR of an under-resourced language - Amharic
lightweight convolutional neural networks for object detection .
InterTubes: A Study of the US Long-haul Fiber-optic Infrastructure
FUSIONS OF CNN AND SVM CLASSIFIERS FOR RECOGNIZING HANDWRITTEN CHARACTERS
Use of Pegvisomant in acromegaly. An Italian Society of Endocrinology guideline
a maximum entropy approach to adaptive statistical language modelling .