Acceso al sitio web del Consejo de Políticas de Infraestructura
REVISTA
Computers

   
Inicio  /  Computers  /  Vol: 8 Par: 1 (2019)  /  Artículo
ARTÍCULO
TITULO

Robust Cochlear-Model-Based Speech Recognition

Mladen Russo    
Maja Stella    
Marjan Sikora and Vesna Pekic    

Resumen

Accurate speech recognition can provide a natural interface for human?computer interaction. Recognition rates of the modern speech recognition systems are highly dependent on background noise levels and a choice of acoustic feature extraction method can have a significant impact on system performance. This paper presents a robust speech recognition system based on a front-end motivated by human cochlear processing of audio signals. In the proposed front-end, cochlear behavior is first emulated by the filtering operations of the gammatone filterbank and subsequently by the Inner Hair cell (IHC) processing stage. Experimental results using a continuous density Hidden Markov Model (HMM) recognizer with the proposed Gammatone Hair Cell (GHC) coefficients are lower for clean speech conditions, but demonstrate significant improvement in performance in noisy conditions compared to standard Mel-Frequency Cepstral Coefficients (MFCC) baseline.

Palabras claves

PÁGINAS
pp. 0 - 0

 Artículos similares

       
 
Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh    
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o... ver más
Revista: Algorithms

 
Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan    
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin... ver más
Revista: Aerospace

 
Lizhen Jia, Yanyan Xu and Dengfeng Ke    
Recent speech enhancement studies have mostly focused on completely separating noise from human voices. Due to the lack of specific structures for harmonic fitting in previous studies and the limitations of the traditional convolutional receptive field, ... ver más
Revista: Applied Sciences

 
Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari    
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-... ver más
Revista: Aerospace

 
Dan Ungureanu, Stefan-Adrian Toma, Ion-Dorinel Filip, Bogdan-Costel Mocanu, Iulian Aciobani?ei, Bogdan Marghescu, Titus Balan, Mihai Dascalu, Ion Bica and Florin Pop    
The evolution of Natural Language Processing technologies transformed them into viable choices for various accessibility features and for facilitating interactions between humans and computers. A subset of them consists of speech processing systems, such... ver más
Revista: Applied Sciences