Biologically inspired features used for robust phoneme recognition
نویسندگان
چکیده
منابع مشابه
Biologically Inspired Features Used For Robust Phoneme Recognition
Formants are regarded as the basic building blocks of vowels; however, they are very rarely used as features for difficult automatic speech recognition tasks. Formant based research is generally focused on formant extraction, because of the assumption that a better formant extraction method is the only manner to increase the effectiveness of formants. We challenge this assumption by investigati...
متن کاملHandwritten digit recognition using biologically inspired features
Image recognition problems are usually difficult to solve using raw pixel data. To improve the recognition it is often needed some form of feature extraction to represent the data in a feature space. We use the output of a biologically inspired model for visual recognition as a feature space. The output of the model is a binary code which is used to train a linear classifier for recognizing han...
متن کاملHow Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding ability has motivated many computational object recognition models. Most of these models try to emulate the behavior of this remarkable system. The human visual system hierarchically recognizes objects in several processing stages. Along these stages a set of features with increasing complexity is e...
متن کاملBiologically-Inspired Robust Spatial Programming
Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected in unknown, irregular, and time-varying ways. We organize our computations around geometry, making the fact that our system is made up of discrete individuals implicit. Geomet...
متن کاملBiologically-Inspired Pattern Recognition For Odor Detection
It is shown that biologically-inspired data aggregation methods result in improved odor discrimination in a gas sensor array. In one typical group of experiments, the correct identification rate achieved by a neural network was improved from 92% without aggregation to 98% with aggregation.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Machine Intelligence and Sensory Signal Processing
سال: 2013
ISSN: 2048-9161,2048-917X
DOI: 10.1504/ijmissp.2013.052867