Hearing is believing: Biologically inspired methods for robust automatic speech recognition
The feature extraction stage of speech recognition is important historically and is the subject
of much current research, particularly to promote robustness to acoustic disturbances such …
of much current research, particularly to promote robustness to acoustic disturbances such …
Triple decomposition technique in air–water flows: application to instationary flows on a stepped spillway
Self-sustained instabilities and pseudo-periodic motion may be observed in hydraulic
structures and industrial flows. Documented examples include the hydraulic jump, sloshing …
structures and industrial flows. Documented examples include the hydraulic jump, sloshing …
Binaural and multiple-microphone signal processing motivated by auditory perception
It is well known that binaural processing is very useful for separating incoming sound
sources as well as for improving the intelligibility of speech in reverberant environments …
sources as well as for improving the intelligibility of speech in reverberant environments …
[PDF][PDF] Robust neuro-fuzzy speaker localization using a circular microphone array
A major application area of microphone array processing is the localization of sound
sources, mainly of speaking persons. In contrast to most state-of-the-art approaches that are …
sources, mainly of speaking persons. In contrast to most state-of-the-art approaches that are …
[PDF][PDF] Air-water flow measurements in instationary free-surface flows: A triple decomposition technique
In the past few decades, many studies investigated air-water flows with natural free-surface
aeration. These studies included some physical experiments of free-surface flows down …
aeration. These studies included some physical experiments of free-surface flows down …
Reverberation-robust online multi-speaker tracking by using a microphone array and CASA processing
Online tracking of speakers is an important task for applications in smart environments such
as camera control, meeting annotation and speech separation. Challenges for an audio-only …
as camera control, meeting annotation and speech separation. Challenges for an audio-only …
A spectro-temporal framework for compensation of reverberation for speech recognition
K Kumar - 2011 - search.proquest.com
The objective of this thesis is the development of signal processing and analysis techniques
that would provide sharply improved speech recognition accuracy in highly reverberant …
that would provide sharply improved speech recognition accuracy in highly reverberant …
Array-based spectro-temporal masking for automatic speech recognition
AR Moghimi - 2014 - search.proquest.com
Over the years, a variety of array processing techniques have been applied to the problem of
enhancing degraded speech to improve automatic speech recognition. In this context, linear …
enhancing degraded speech to improve automatic speech recognition. In this context, linear …
Robust recognition of binaural speech signals using techniques based on human auditory processing
AI Menon - 2019 - search.proquest.com
Abstract Automatic Speech Recognition (ASR) engines are extremely susceptible to noise.
There is an increasing prevalence of voice-assisted devices which need to recognize …
There is an increasing prevalence of voice-assisted devices which need to recognize …
Binaural Technology for Machine Speech Recognition and Understanding
RM Stern, A Menon - The Technology of Binaural Understanding, 2020 - Springer
It is well known that binaural processing is very useful for separating incoming sound
sources as well as for improving speech intelligibility in reverberant environments. This …
sources as well as for improving speech intelligibility in reverberant environments. This …