An overview of noise-robust automatic speech recognition
New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …
with mobile devices and home entertainment systems, increasingly require automatic …
An overview of lead and accompaniment separation in music
Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …
typically consisting of vocals. Filtering such mixtures to extract one or both components has …
Binary and ratio time-frequency masks for robust speech recognition
A time-varying Wiener filter specifies the ratio of a target signal and a noisy mixture in a local
time-frequency unit. We estimate this ratio using a binaural processor and derive a ratio time …
time-frequency unit. We estimate this ratio using a binaural processor and derive a ratio time …
CASA-based robust speaker identification
Conventional speaker recognition systems perform poorly under noisy conditions. Inspired
by auditory perception, computational auditory scene analysis (CASA) typically segregates …
by auditory perception, computational auditory scene analysis (CASA) typically segregates …
An auditory-based feature for robust speech recognition
Y Shao, Z Jin, DL Wang… - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
A conventional automatic speech recognizer does not perform well in the presence of noise,
while human listeners are able to segregate and recognize speech in noisy conditions. We …
while human listeners are able to segregate and recognize speech in noisy conditions. We …
Missing-feature approaches in speech recognition
In this article we have reviewed a wide variety of techniques based on the identification of
missing spectral features that have proved effective in reducing the error rates of automatic …
missing spectral features that have proved effective in reducing the error rates of automatic …
Robust speaker identification using auditory features and computational auditory scene analysis
Y Shao, DL Wang - 2008 IEEE international conference on …, 2008 - ieeexplore.ieee.org
The performance of speaker recognition systems drop significantly under noisy conditions.
To improve robustness, we have recently proposed novel auditory features and a robust …
To improve robustness, we have recently proposed novel auditory features and a robust …
Compressive sensing for missing data imputation in noise robust speech recognition
JF Gemmeke, H Van Hamme… - IEEE Journal of …, 2010 - ieeexplore.ieee.org
An effective way to increase the noise robustness of automatic speech recognition is to label
noisy speech features as either reliable or unreliable (missing), and to replace (impute) the …
noisy speech features as either reliable or unreliable (missing), and to replace (impute) the …
A computational auditory scene analysis system for speech segregation and robust speech recognition
Y Shao, S Srinivasan, Z Jin, DL Wang - Computer Speech & Language, 2010 - Elsevier
A conventional automatic speech recognizer does not perform well in the presence of
multiple sound sources, while human listeners are able to segregate and recognize a signal …
multiple sound sources, while human listeners are able to segregate and recognize a signal …
Reaching over the gap: A review of efforts to link human and automatic speech recognition research
O Scharenborg - Speech Communication, 2007 - Elsevier
The fields of human speech recognition (HSR) and automatic speech recognition (ASR)
both investigate parts of the speech recognition process and have word recognition as their …
both investigate parts of the speech recognition process and have word recognition as their …