Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: A novel objective function for improved phoneme recognition using time delay neural networks
Phoneme recognition using time-delay neural networks
Research on deep neural network's hidden layers in phoneme recognition
a time - delay neural network architecture for isolated word recognition .
Fuzzy k-Nearest Neighbors applied to phoneme recognition
Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition
Contrastive auto-encoder for phoneme recognition
Implementation of an Extended Recognition Network for Mispronunciation Detection and Diagnosis in Computer-Assisted Pronunciation Training
Improving Phoneme segmentation with Recurrent Neural Networks.
Time delay deep neural network-based universal background models for speaker recognition
Blind phoneme segmentation with temporal prediction errors
A novel scheme for speaker recognition using a phonetically-aware deep neural network
Factorized deep neural networks for adaptive speech recognition
Phonotactic language recognition based on DNN-HMM acoustic model
Reverberation robust acoustic modeling using i-vectors with time delay neural networks.
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Comparing word, character, and phoneme n-grams for subjective utterance recognition
PARALLEL TRAINING OF NEURAL NETWORKS FOR SPEECH RECOGNITION
Exploring How Deep Neural Networks Form Phonemic Categories
Deep Belief Networks for phone recognition
Dynamic time warping for speech recognition with training part to reduce the computation
TRPV4-associated skeletal dysplasias
characterization of a hkt - type transporter in rice as a general alkali cation transporter .
Lateral epicondylitis of the elbow
Glut-1 expression and enhanced glucose metabolism are associated with tumour grade in bone and soft tissue sarcomas: a prospective evaluation by [18F]fluorodeoxyglucose positron emission tomography
Speaker-independent phone recognition using hidden Markov models