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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 …
[책][B] Speech recognition over digital channels: Robustness and Standards
Automatic speech recognition (ASR) is a very attractive means for human-machine
interaction. The degree of maturity reached by speech recognition technologies during …
interaction. The degree of maturity reached by speech recognition technologies during …
Low-power audio keyword spotting using tsetlin machines
The emergence of artificial intelligence (AI) driven keyword spotting (KWS) technologies has
revolutionized human to machine interaction. Yet, the challenge of end-to-end energy …
revolutionized human to machine interaction. Yet, the challenge of end-to-end energy …
Speech recognition using non-parametric models
CI Chelba - US Patent 9,336,771, 2016 - Google Patents
Popescu, Vladimir et al.,“Parallel training algorithms for continuous speech recognition,
implemented in a message passing framework”. 14th European Signal Processing …
implemented in a message passing framework”. 14th European Signal Processing …
Normalization of the speech modulation spectra for robust speech recognition
X **/10.1117/12.596953.short" data-clk="hl=ko&sa=T&ct=res&cd=5&d=16557129269154924613&ei=rhu9Z_nsEZ-bieoPq73r0Qw" data-clk-atid="RcgzzFi9xuUJ" target="_blank">Color histogram specification by histogram war**
M Grundland, NA Dodgson - Color Imaging X: Processing …, 2005 - spiedigitallibrary.org
Histogram war** is a novel histogram specification technique for use in color image
processing. As a general purpose tool for color correction, our technique constructs a global …
processing. As a general purpose tool for color correction, our technique constructs a global …
Caching speech recognition scores
Methods, systems, and apparatus, including computer pro grams encoded on a computer
storage medium, for caching speech recognition scores. In some implementations, one or …
storage medium, for caching speech recognition scores. In some implementations, one or …
Suppression by selecting wavelets for feature compression in distributed speech recognition
Distributed speech recognition (DSR) splits the processing of data between a mobile device
and a network server. In the front-end, features are extracted and compressed to transmit …
and a network server. In the front-end, features are extracted and compressed to transmit …
Speech recognition using associative map**
6, 681, 206 B1 1/2004 Gorlin et al. 6, 876, 966 B1 4/2005 Deng 7, 035, 789 B2 4/2006
Abrego et al. 7, 062, 442 B2 6/2006 Berg et al. 7, 065, 487 B2 6/2006 Miyazawa 7, 085, 720 …
Abrego et al. 7, 062, 442 B2 6/2006 Berg et al. 7, 065, 487 B2 6/2006 Miyazawa 7, 085, 720 …
Histogram equalization-based features for speech, music, and song discrimination
In this letter, we present a new class of segment-based features for speech, music and song
discrimination. These features, called PHEQ (Polynomial-Fit Histogram Equalization), are …
discrimination. These features, called PHEQ (Polynomial-Fit Histogram Equalization), are …