Automatic speech recognition using limited vocabulary: A survey
JLKE Fendji, DCM Tala, BO Yenke… - Applied Artificial …, 2022 - Taylor & Francis
ABSTRACT Automatic Speech Recognition (ASR) is an active field of research due to its
large number of applications and the proliferation of interfaces or computing devices that …
large number of applications and the proliferation of interfaces or computing devices that …
Speech production knowledge in automatic speech recognition
Although much is known about how speech is produced, and research into speech
production has resulted in measured articulatory data, feature systems of different kinds, and …
production has resulted in measured articulatory data, feature systems of different kinds, and …
Effects of disfluencies, predictability, and utterance position on word form variation in English conversation
Function words, especially frequently occurring ones such as (the, that, and, and of), vary
widely in pronunciation. Understanding this variation is essential both for cognitive modeling …
widely in pronunciation. Understanding this variation is essential both for cognitive modeling …
Pliability rules
In 1543, the Polish astronomer, Nicolas Copernicus, determined the heliocentric design of
the solar system.'Copernicus was motivated in large part by the conviction that Claudius …
the solar system.'Copernicus was motivated in large part by the conviction that Claudius …
Graphical models and automatic speech recognition
JA Bilmes - Mathematical foundations of speech and language …, 2004 - Springer
Graphical models provide a promising paradigm to study both existing and novel techniques
for automatic speech recognition. This paper first provides a brief overview of graphical …
for automatic speech recognition. This paper first provides a brief overview of graphical …
CTC regularized model adaptation for improving LSTM RNN based multi-accent mandarin speech recognition
This paper proposes a novel regularized adaptation method to improve the performance of
multi-accent Mandarin speech recognition task. The acoustic model is based on long short …
multi-accent Mandarin speech recognition task. The acoustic model is based on long short …
[PDF][PDF] Prosody models for conversational speech recognition
This paper describes a formal model for incorporating prosody in the speech recognition
process, both for improving word recognition directly and for jointly recognizing words and …
process, both for improving word recognition directly and for jointly recognizing words and …
[PDF][PDF] Fundamental technologies in modern speech recognition
T OCKPH - IEEE Signal Processing Magazine, 2012 - Citeseer
There is a vast body of literature on LVCSR research and some limitation is necessary in the
scope of this article. We will focus primarily on the techniques that have been successful in …
scope of this article. We will focus primarily on the techniques that have been successful in …
What kind of pronunciation variation is hard for triphones to model?
D Jurafsky, W Ward, Z Ban**… - … , Speech, and Signal …, 2001 - ieeexplore.ieee.org
In order to help understand why gains in pronunciation modeling have proven so elusive,
we investigated which kinds of pronunciation variation are well captured by triphone models …
we investigated which kinds of pronunciation variation are well captured by triphone models …
Pronunciation modeling for ASR–knowledge-based and data-derived methods
M Wester - Computer Speech & Language, 2003 - Elsevier
This paper focuses on modeling pronunciation variation in two different ways: data-derived
and knowledge-based. The knowledge-based approach consists of using phonological …
and knowledge-based. The knowledge-based approach consists of using phonological …