1 |
The phonetics and phonology of Hong Kong English: a study of fricatives
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Overview of GermEval Task 2, 2019 shared task on the identification of offensive language
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Discriminative feature modeling for statistical speech recognition ...
|
|
|
|
Abstract:
Dissertation, RWTH Aachen University, 2020; Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme (2021). = Dissertation, RWTH Aachen University, 2020 ... : Conventional speech recognition systems consist of feature extraction, acoustic and language modeling blocks, and search block. In a recent trend the traditional modeling approaches in these blocks have been replaced or extended with neural networks. Due to the layered structure of such models, data-driven feature extraction and representation learning happens at multiple levels in modern ASR, besides the traditional cepstral feature extraction. This work revisits and extends these manually and automatically derived features in multiple ways. Acoustic models are traditionally trained on cepstral features. However, the signal analysis is based on the short-time stationary assumption of speech. This is challenged by several acoustical phenomena, therefore in the first part of the thesis we relax this assumption and introduce a novel non-stationary framework to analyze voiced speech. We derive noise robust features from the more precise analysis and extensively evaluate them in noisy speech recognition tasks. ...
|
|
Keyword:
automatische Spracherkennung , Signalverarbeitung , Merkmalextration , neuronale Netze , akustische Modellierung , Sprachmodellierung , multilinguale and multi-domaene Modellierung , automatic speech recognition , ASR , signal processing , feature extraction , neural networks , acoustic modeling , AM , language modeling , LM , multilingual and multi-domain modeling
|
|
URL: https://dx.doi.org/10.18154/rwth-2021-01241 https://publications.rwth-aachen.de/record/811535
|
|
BASE
|
|
Hide details
|
|
6 |
Automatisches Spracherkennungssystem zur Quantifizierung der Nase und Nasennebenhöhlen auf die Sprachverständlichkeit ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Sociophonetic factors in automatic speech recognition: a study on American English
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Lexical and language modeling for Russian large vocabulary continuous speech recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Blind speech separation in distant speech recognition front-end processing
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Dynamic language models for hybrid speech recognition ; Dynamische Sprachmodelle für Hybride Spracherkennung
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Automatische Verarbeitung der Morphologie des Albanischen ; Automatic processing of Albanian morphology
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Evaluation of Natural Language and Speech Tool for Italian : International Workshop, EVALITA 2011, Rome, January 24-25, 2012, Revised Selected Papers
|
|
|
|
UB Frankfurt Linguistik
|
|
Show details
|
|
|
|