In this paper we study a new approach to processing temporal information for automatic speech recognition (ASR). Specifically, we study the use of rather longtime TempoRAl Patterns (TRAPs) of spectral...
The work examines Karhunen-Loeve Transform and Linear Discriminant Analysis as means for designing optimized spectral bases for the projection of the critical-band auditory-like spectrum. 1. INTRODUCT...
In this paper we study a new approach to processing temporal information for automatic speech recognition (ASR). Specifically, we study the use of rather longtime TempoRAl Patterns (TRAPs) of spectral...
In this paper we study a new approach to processing temporal information for automatic speech recognition (ASR). Specifically, we study the use of rather longtime TempoRAl Patterns (TRAPs) of spectral...
Features for automatic speech recognition (ASR) are typically sampled at about 100 Hz (10 ms analysis step). Recent experiments indicate that the most efficient components of the modulation spectrum o...
Features for automatic speech recognition (ASR) are typically sampled at about 100 Hz (10 ms analysis step). Recent experiments indicate that the most efficient components of the modulation spectrum o...
Features for automatic speech recognition (ASR) are typically sampled at about 100 Hz (10 ms analysis step). Recent experiments indicate that the most efficient components of the modulation spectrum o...