Skip to search formSkip to main contentSkip to account menu

Acoustic model

An acoustic model is used in Automatic Speech Recognition to represent the relationship between an audio signal and the phonemes or other linguistic… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
This paper investigates data augmentation for deep neural network acoustic modeling based on label-preserving transformations to… 
Highly Cited
2014
Highly Cited
2014
Long Short-Term Memory (LSTM) is a specific recurrent neural network (RNN) architecture that was designed to model temporal… 
Highly Cited
2013
Highly Cited
2013
Deep neural network acoustic models produce substantial gains in large vocabulary continuous speech recognition systems. Emerging… 
Highly Cited
2013
Highly Cited
2013
Today's speech recognition technology is mature enough to be useful for many practical applications. In this context, it is of… 
Review
2013
Review
2013
Deep learning is becoming a mainstream technology for speech recognition at industrial scale. In this paper, we provide an… 
Review
2012
Review
2012
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and… 
Review
2012
Review
2012
Most current speech recognition systems use hidden Markov models ( HMMs) to deal with the temporal variability of speech and… 
Highly Cited
2012
Highly Cited
2012
In the information age, computer applications have become part of modern life and this has in turn encouraged the expectations of… 
Highly Cited
2012
Highly Cited
2012
We propose a novel context-dependent (CD) model for large-vocabulary speech recognition (LVSR) that leverages recent advances in… 
Highly Cited
2002
Highly Cited
2002
The last decade has witnessed substantial progress in speech recognition technology, with today?s state-of-the-art systems being…