Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: recovering punctuation marks for automatic speech recognition .
Enriching speech recognition with automatic detection of sentence boundaries and disfluencies
Speech Recognition Using Hidden Markov Model
A pitch extraction algorithm tuned for automatic speech recognition
The Concepts of Hidden Markov Model in Speech Recognition
speech segmentation and spoken document processing .
Mispronunciation Detection Leveraging Maximum Performance Criterion Training of Acoustic Models and Decision Functions
Dynamic Conditional Random Fields for Joint Sentence Boundary and Punctuation Prediction
Continuous speech recognition by statistical methods
A Spelling Correction Model for End-to-end Speech Recognition
Isolated-word speech recognition using hidden Markov models
Automatic prosody prediction and detection with Conditional Random Field (CRF) models
Automatic Disfluency Identification in Conversational Speech Using Multiple Knowledge Sources
Typeset by REVTEX 4 for JASA ( A , Y ) Speech production knowledge in automatic speech recognition
Quality Estimation for Automatic Speech Recognition
Speech recognition: A model and a program for research
Classification Techniques for Speech Recognition: A Review
Automatic Speech Recognition: Reliability and Pedagogical Implications for Teaching Pronunciation
Speaker-independent word recognition in connected speech on the basis of Phoneme recognition
Automatic linguistic segmentation of conversational speech
Punctuation Prediction for Unsegmented Transcript Based on Word Vector.
Generalized measuring-worm algorithm: high-accuracy mapping and movement via cooperating swarm robots
Effect ofWearable Technology CombinedWith a Lifestyle Intervention on Long-termWeight Loss The IDEA Randomized Clinical Trial
Improve Efficiency and Reliability in Single-Hop WSNs with Transmit-Only Nodes
Particle Markov chain Monte Carlo methods
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data