Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Learning of Word Boundaries in Continuous Speech Using Time Delay Neural Networks
Phoneme recognition using time-delay neural networks
New types of deep neural network learning for speech recognition and related applications: an overview
A Hybrid model of Neural Network Approach for Speaker independent Word Recognition
A Bidirectional LSTM Approach with Word Embeddings for Sentence Boundary Detection
Speaker-independent word recognition in connected speech on the basis of Phoneme recognition
Towards End-To-End Speech Recognition with Recurrent Neural Networks
Discriminative acoustic word embeddings: Tecurrent neural network-based approaches
Deep LSTM for Large Vocabulary Continuous Speech Recognition
Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks
Transition-Based Neural Word Segmentation
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
Deep neural networks for acoustic modeling in speech recognition
Exploring neural transducers for end-to-end speech recognition
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
A Fully Time-domain Neural Model for Subband-based Speech Synthesizer
A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition
Spoken term detection with Connectionist Temporal Classification: A novel hybrid CTC-DBN decoder
Dynamic time warping for speech recognition with training part to reduce the computation
Unfolded recurrent neural networks for speech recognition.
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
A review of non-strabismic accommodative-vergence anomalies in school-age children. Part 1: Vergence anomalies
Continuous speech recognition by statistical methods
model - based tracking of multiple worms and fish .
Toward Incorporation of Relevant Documents in word2vec
Graph theory