Concept
English phonology
Related publications (40)
Novel Methods For Detection And Analysis Of Atypical Aspects In Speech
Atypical aspects in speech concern speech that deviates from what is commonly considered normal or healthy. In this thesis, we propose novel methods for detection and analysis of these aspects, e.g. to monitor the temporary state of a speaker, diseases tha ...
EPFL2023Explainable Phonology-based Approach for Sign Language Recognition and Assessment
Sign language technology, unlike spoken language technology, is an emerging area of research. Sign language technologies can help in bridging the gap between the Deaf community and the hearing community. One such computer-aided technology is sign language ...
EPFL2021Articulatory feature based continuous speech recognition using probabilistic lexical modeling
Phonological studies suggest that the typical subword units such as phones or phonemes used in automatic speech recognition systems can be decomposed into a set of features based on the articulators used to produce the sound. Most of the current approaches ...
Elsevier2016Speech vocoding for laboratory phonology
In this paper, we propose a platform based on phonological speech vocoding for examining relations between phonology and speech processing, and in broader terms, between the abstract and physical structures of speech signal. The goal of this paper is to go ...
Idiap2015Joint Phoneme Segmentation Inference and Classification using CRFs
Ronan Collobert, Dimitri Palaz
State-of-the-art phoneme sequence recognition systems are based on hybrid hidden Markov model/artificial neural networks (HMM/ANN) framework. In this framework, the local classifier, ANN, is typically trained using Viterbi expectation-maximization algorith ...
2014Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture
Philip Neil Garner, Milos Cernak
Current HMM-based low bit rate speech coding systems work with phonetic vocoders. Pitch contour coding (on frame or phoneme level) is usually fairly orthogonal to other speech coding parameters. We make an assumption in our work that the speech signal cont ...
Idiap2013Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach
There is growing interest in using graphemes as subword units, especially in the context of the rapid development of hidden Markov model (HMM) based automatic speech recognition (ASR) system, as it eliminates the need to build a phoneme pronunciation lexic ...
Idiap2013