Study of audiovisual asynchrony signal processing: Robot recognition system of different ages

2016 ◽  
Author(s):  
Yanna Ren ◽  
Weiping Yang ◽  
Qiong Wu ◽  
Fengxia Wu ◽  
Satoshi Takahashi ◽  
...  
Keyword(s):  
Signal Processing ◽  
Recognition System ◽  
Different Ages ◽  
Audiovisual Asynchrony

scholarly journals IMPLEMENTATION OF SPEECH RECOGNITION SYSTEM USING DSP PROCESSOR ADSP2181

2012 ◽  
pp. 1-6
Author(s):  
KALPANA JOSHI ◽  
NILIMA KOLHARE ◽  
V.M. PANDHARIPANDE
Keyword(s):  
Signal Processing ◽  
Speech Recognition ◽  
Digital Signal Processing ◽  
Speech Processing ◽  
Speaker Recognition ◽  
Digital Signal ◽  
Recognition System ◽  
Theory And Practice ◽  
Clock Frequency ◽  
Application Development

While many Automatic Speech Recognition applications employ powerful computers to handle the complex recognition algorithms, there is a clear demand for effective solutions on embedded platforms. Digital Signal Processing (DSP) is one of the most commonly used hardware platform that provides good development flexibility and requires relatively short application development cycle.DSP techniques have been at the heart of progress in Speech Processing during the last 25years.Simultaneously speech processing has been an important catalyst for the development of DSP theory and practice. Today DSP methods are used in speech analysis, synthesis, coding, recognition, enhancement as well as voice modification, speaker recognition, language identification.Speech recognition is generally computationally-intensive task and includes many of digital signal processing algorithms. In real-time and real environment speech recognisers applications, it’s often necessary to use embedded resource-limited hardware. Less memory, clock frequency, space and cost related to common architecture PC (x86), must be balanced by more effective computation.

scholarly journals A Speaker Identity Recognition System based on Deep Learning

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Yili Shen
Keyword(s):  
Pattern Recognition ◽  
Signal Processing ◽  
Deep Learning ◽  
Speech Recognition ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Recognition System ◽  
Speech Recognition System ◽  
Identity Recognition ◽  
Voice Control

This paper describes a branch of pattern recognition and lies in the field of digital signal processing. It is a speech recognition system of identifying different people speaking based on deep learning. In brief, this method can be used as intelligent voice control like Siri.

Hand-Motion Recognition System Using Directional Patterns of Gyroscope for Smart Device Control

2012 ◽  
Vol 601 ◽  
pp. 196-199
Author(s):  
Ki Hong Park
Keyword(s):  
Signal Processing ◽  
Recognition System ◽  
Smart Devices ◽  
Smart Device ◽  
Three Dimension ◽  
Motion Recognition ◽  
Hand Motion ◽  
Rf Transmitter ◽  
Left And Right ◽  
Dimension Space

In this paper, I proposed the hand-motion recognition system using gyroscope for smart devices. The proposed systems includes a set of modules; gyroscope, RF transmitter/receiver, MCU for signal processing, USB connector and PC-based software. The gyroscope is used to recognize the hand-motion in three-dimension space, and communication bandwidth for transceiver is also set to 2.4~2.5GHz. The nRF24L01 module is used for wireless communication between the transmitter and receiver. For recognizing the hand-motions, the active patterns consist of directional patterns including up, down, left and right direction. Proposed hand-motion recognizing system is configured and simulated base on combinations of hand-motions. In the experimental results, the proposed system was able to recognize the hand-motions, and the results of this paper can apply proposed system to various smart fields.

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