Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction
A Zgank - Mathematics, 2022 - mdpi.com
Automatic speech recognition is essential for establishing natural communication with a
human–computer interface. Speech recognition accuracy strongly depends on the …
human–computer interface. Speech recognition accuracy strongly depends on the …
[PDF][PDF] Investigation on language modelling approaches for open vocabulary speech recognition
B Shaik, M Ali - 2016 - publications.rwth-aachen.de
By definition, words that are not present in a recognition vocabulary are called out-of-
vocabulary (OOV) words. Recognition of unseen or new words is an important feature that is …
vocabulary (OOV) words. Recognition of unseen or new words is an important feature that is …
Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm
In this paper we describe a method of morphologically segment highly agglutinating and
inflectional languages from the Dravidian family. We use the nested Pitman-Yor process to …
inflectional languages from the Dravidian family. We use the nested Pitman-Yor process to …
[PDF][PDF] Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm
A Oliver - academia.edu
In this paper we describe a method to morphologically segment highly agglutinating and
inflectional languages from Dravidian family. We use nested Pitman-Yor process to segment …
inflectional languages from Dravidian family. We use nested Pitman-Yor process to segment …
[PDF][PDF] Sub-word Language Models for German LVCSR
A Zairi - 2015 - isl.iar.kit.edu
This work is devoted to build sub-word language models for German Large Vocabulary
Continuous Speech Recognition (LVCSR) Systems. The motivation of using a sub-words …
Continuous Speech Recognition (LVCSR) Systems. The motivation of using a sub-words …