Phonological parsing in speech recognition
Phonological parsing in speech recognition
Towards increasing speech recognition error rates
Speech Communication
On stochastic feature and model compensation approaches to robust speech recognition
Speech Communication - Special issue on robust speech recognition
Predictive model-based compensation schemes for robust speech recognition
Speech Communication - Special issue on robust speech recognition
Fast Algorithms for Digital Signal Processing
Fast Algorithms for Digital Signal Processing
Hidden Markov Models for Speech Recognition
Hidden Markov Models for Speech Recognition
Automatic Speech Recognition: The Development of the Sphinx Recognition System
Automatic Speech Recognition: The Development of the Sphinx Recognition System
Automatic discrimination between laughter and speech
Speech Communication
Robust ASR using Support Vector Machines
Speech Communication
Editorial note: Bridging the gap between human and automatic speech recognition
Speech Communication
Automatic speech recognition and speech variability: A review
Speech Communication
Towards capturing fine phonetic variation in speech using articulatory features
Speech Communication
The application of hidden Markov models in speech recognition
Foundations and Trends in Signal Processing
A Maximum Likelihood Approach to Continuous Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Speaker Verification Using Support Vector Machines and High-Level Features
IEEE Transactions on Audio, Speech, and Language Processing
Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition
IEEE Transactions on Audio, Speech, and Language Processing
Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error
IEEE Transactions on Audio, Speech, and Language Processing
Prosody dependent speech recognition on radio news corpus of American English
IEEE Transactions on Audio, Speech, and Language Processing
Speech Analysis in a Model of the Central Auditory System
IEEE Transactions on Audio, Speech, and Language Processing
Latent Prosody Analysis for Robust Speaker Identification
IEEE Transactions on Audio, Speech, and Language Processing
Template-Based Continuous Speech Recognition
IEEE Transactions on Audio, Speech, and Language Processing
An overview of automatic speaker diarization systems
IEEE Transactions on Audio, Speech, and Language Processing
Large margin hidden Markov models for speech recognition
IEEE Transactions on Audio, Speech, and Language Processing
Recent innovations in speech-to-text transcription at SRI-ICSI-UW
IEEE Transactions on Audio, Speech, and Language Processing
Robust Speaker Recognition in Noisy Conditions
IEEE Transactions on Audio, Speech, and Language Processing
Maximum likelihood estimation for multivariate observations of Markov sources
IEEE Transactions on Information Theory
Sound event recognition through expectancy-based evaluation ofsignal-driven hypotheses
Pattern Recognition Letters
Detecting laughter in spontaneous speech by constructing laughter bouts
International Journal of Speech Technology
Integration of multiple acoustic and language models for improved Hindi speech recognition system
International Journal of Speech Technology
Modelling and Simulation in Engineering
Self-Adjustable Neural Network for speech recognition
Engineering Applications of Artificial Intelligence
Spoken language processing: where do we go from here?
Your Virtual Butler
A domain-independent statistical methodology for dialog management in spoken dialog systems
Computer Speech and Language
| Hi-index | 0.01 |
The field of automatic speech recognition (ASR) is discussed from the viewpoint of pattern recognition (PR). This tutorial examines the problem area, its methods, successes and failures, focusing on the nature of the speech signal and techniques to accomplish useful data reduction. Comparison is made with other areas of PR. Suggestions are given for areas of future progress.