scholarly journals Speech Recognition by Formant Pattern Matching in N‐dimensional Space

1964 ◽  
Vol 36 (5) ◽  
pp. 1031-1031
Author(s):  
S. J. Campanella ◽  
D. C. Coulter ◽  
P. Engler
Keyword(s):  
Speech Recognition ◽  
Pattern Matching ◽  
Dimensional Space

scholarly journals Modeling of Speech Recognition Using Artificial Neural Network

2019 ◽  
Vol 8 (9) ◽  
pp. 1225-1229
Keyword(s):  
Neural Network ◽  
Speech Recognition ◽  
Pattern Matching ◽  
Back Propagation ◽  
Experimental Result ◽  
Communication Link ◽  
Back Propagation Algorithm ◽  
Feed Forward Neural Network ◽  
The Voice

Automatic speech recognition has attained a lot of significance as it can act as easy communication link between machines and humans. This mode of communication is easy for man to use as it is effortless and easy. Many approaches for extraction of the features of the speech and classification of speech have been considered. This paper unveils the importance of neutral network and the way it can be used for recognition of speech. Mel Frequency Cepstrum Coefficients is made use of for extraction of the features from the voice. For pattern matching neural network has been used. MATLAB has been used to show how the speech is recognized. In this paper the speech recognition has been done firstly by multilayer feed forward neural network using Back propagation algorithm. Then the process of speech recognition is shown by using Radial basis function neural network. The paper then analyzes the performance of both the algorithms and experimental result shows that BPNN outperforms the RBFNN.

Building Sequence Kernels for Speaker Verification and Word Recognition

2011 ◽  
pp. 575-589
Author(s):  
Vincent Wan
Keyword(s):  
Speech Recognition ◽  
Speech Processing ◽  
Kernel Methods ◽  
Speaker Recognition ◽  
Dynamic Time Warping ◽  
Speaker Verification ◽  
Dimensional Space ◽  
Time Warping ◽  
Recognition Systems ◽  
Dynamic Time

This chapter describes the adaptation and application of kernel methods for speech processing. It is divided into two sections dealing with speaker verification and isolated-word speech recognition applications. Significant advances in kernel methods have been realised in the field of speaker verification, particularly relating to the direct scoring of variable-length speech utterances by sequence kernel SVMs. The improvements are so substantial that most state-of-the-art speaker recognition systems now incorporate SVMs. We describe the architecture of some of these sequence kernels. Speech recognition presents additional challenges to kernel methods and their application in this area is not as straightforward as for speaker verification. We describe a sequence kernel that uses dynamic time warping to capture temporal information within the kernel directly. The formulation also extends the standard dynamic time-warping algorithm by enabling the dynamic alignment to be computed in a high-dimensional space induced by a kernel function. This kernel is shown to work well in an application for recognising low-intelligibility speech of severely dysarthric individuals.

Building Sequence Kernels for Speaker Verification and Word Recognition

2011 ◽  
pp. 246-262
Author(s):  
Vincent Wan
Keyword(s):  
Speech Recognition ◽  
Speech Processing ◽  
Kernel Methods ◽  
Speaker Recognition ◽  
Dynamic Time Warping ◽  
Speaker Verification ◽  
Dimensional Space ◽  
Time Warping ◽  
Recognition Systems ◽  
Dynamic Time

This chapter describes the adaptation and application of kernel methods for speech processing. It is divided into two sections dealing with speaker verification and isolated-word speech recognition applications. Significant advances in kernel methods have been realised in the field of speaker verification, particularly relating to the direct scoring of variable-length speech utterances by sequence kernel SVMs. The improvements are so substantial that most state-of-the-art speaker recognition systems now incorporate SVMs. We describe the architecture of some of these sequence kernels. Speech recognition presents additional challenges to kernel methods and their application in this area is not as straightforward as for speaker verification. We describe a sequence kernel that uses dynamic time warping to capture temporal information within the kernel directly. The formulation also extends the standard dynamic time-warping algorithm by enabling the dynamic alignment to be computed in a high-dimensional space induced by a kernel function. This kernel is shown to work well in an application for recognising low-intelligibility speech of severely dysarthric individuals.

scholarly journals Geometric Pattern Matching in d -Dimensional Space

1999 ◽  
Vol 21 (2) ◽  
pp. 257-274 ◽  
Author(s):  
L. P. Chew ◽  
D. Dor ◽  
A. Efrat ◽  
K. Kedem
Keyword(s):  
Pattern Matching ◽  
Dimensional Space ◽  
Geometric Pattern ◽  
Geometric Pattern Matching

scholarly journals Implementing Speech Recognition in Virtual Reality

2002 ◽  
Author(s):  
Denis V. Dorozhkin ◽  
Judy M. Vance
Keyword(s):  
Virtual Reality ◽  
Speech Recognition ◽  
Virtual Environment ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Design Tool ◽  
Product Development Process ◽  
Engineering Product ◽  
Digital Representations ◽  
And Control

Virtual Reality (VR) is becoming an important tool in the engineering product development process. The virtual environment provides the user with the ability to interact with three-dimensional digital representations of products using natural head and hand motions. While interacting with digital objects in VR seems natural, the use of traditional two-dimensional menu systems does not always provide a convenient interface to controlling task specifications in the three-dimensional space. New human-computer-interfaces are needed for this emerging VR design tool. This paper will present the details of implementing a speaker-independent, command and control, speech recognition menuing system for a virtual reality application. The menuing system will be described as it is incorporated into a virtual environment for the design of spatial mechanisms. Design and technical issues involved in the interface creation process are discussed and the resulting interaction system is described.

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