Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: End-to-end attention-based large vocabulary speech recognition
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
A Comparison of Sequence-to-Sequence Models for Speech Recognition
Towards End-to-end Spoken Language Understanding
Advances in All-Neural Speech Recognition
Confidence Measures for Large Vocabulary Continuous Speech Recognition
Deep-FSMN for Large Vocabulary Continuous Speech Recognition
End-to-end visual speech recognition with LSTMS
Densely Connected Convolutional Networks for Speech Recognition
Exploring neural transducers for end-to-end speech recognition
Small-footprint high-performance deep neural network-based speech recognition using split-VQ
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention
Modelling out-of-vocabulary words for robust speech recognition
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models
Use of kernel deep convex networks and end-to-end learning for spoken language understanding
Bidirectional recurrent neural network language models for automatic speech recognition
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin
Hypothesis Spaces for Minimum Bayes Risk Training in Large Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Fully Convolutional Speech Recognition
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Comparative Study between the Elastic Nail versus Hip Spica Cast in Early Treatment of Pediatric Femoral Shaft Fractures
Balanced embedded trace substrate design for warpage control
Algorithm 943: MSS: MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization