Neural mechanism for speech sound recognition: Where in wave is cue for recognition embedded?
نویسندگان
چکیده
منابع مشابه
Improving the performance of MFCC for Persian robust speech recognition
The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. In this paper to achieve a satisfactorily performance in Automatic Speech Recognition (ASR) applications we introduce a noise robust new set of MFCC vector estimated through following steps. First, spectral mean normalization is a pre-processing which applies to t...
متن کاملA Neural Oscillator Sound Separator for Missing Data Speech Recognition
In order to recognise speech in a background of other sounds, human listeners must solve two perceptual problems. First, the mixture of sounds reaching the ears must be parsed to recover a description of each acoustic source, a process termed ‘auditory scene analysis’. Second, recognition of speech must be robust even when the acoustic evidence is missing due to masking by other sounds. This pa...
متن کاملAN IMPROVED CONTROLLED CHAOTIC NEURAL NETWORK FOR PATTERN RECOGNITION
A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...
متن کاملCompact Acoustic Models for Embedded Speech Recognition
Speech recognition applications are known to require a significant amount of resources. However, embedded speech recognition only authorizes few KB of memory, few MIPS and small a amount of training data. In order to fit the resource constraints of embedded applications, an approach based on a semi-continuous HMM system using stateindependent acoustic modelling is proposed. A transformation is ...
متن کاملA wave decoder for continuous speech recognition
In this paper, a wave decoder based on the general re-entrant network for continuous speech recognition is described. The decoder design is based on the concept of self-adjusting decoding graph in which the decoding network is expanded and released frame-synchronously. The fast network expansion and release are made possible by utilizing a novel dynamic network sca olding layer. The self-adjust...
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: Higher Brain Function Research
سال: 2005
ISSN: 1348-4818,1880-6554
DOI: 10.2496/hbfr.25.165