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[PDF] Top 20 Gender Recognition Using Voice Signal Analysis

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Gender Recognition Using Voice Signal Analysis

Gender Recognition Using Voice Signal Analysis

... replacement gender person’s voice is recorded and analyzed for 2 seconds ...unknown gender person offers a speech input and therefore the system makes a choice regarding the speaker’s ...speech ... See full document

5

Comparison of Voice Analysis Programs for Fundamental Frequency
Measurement in Elderly Voice Signals Through Gender Analysis

Comparison of Voice Analysis Programs for Fundamental Frequency Measurement in Elderly Voice Signals Through Gender Analysis

... The elderly voices of 40 Korean subjects (20 females and 20 males) ranging in age from 70-80 years were used. The symmetrical instantaneous frequency estimators with order 5 and 4 were selected for female and male ... See full document

8

The Use of Wavelet Transformation in Conjunction with a Heuristic Algorithm as a Tool for Feature Extraction from Signals

The Use of Wavelet Transformation in Conjunction with a Heuristic Algorithm as a Tool for Feature Extraction from Signals

... speaker recognition for micro ma- nipulation of robots ...speech recognition was presented for under-resourced languages [14], which can data structures for knowledge storing [6, ...of analysis and ... See full document

10

Advanced Time-Frequency Representation in Voice Signal Analysis

Advanced Time-Frequency Representation in Voice Signal Analysis

... effective analysis speech signals they are used sparse time frequency representations [19, 24, ...the analysis is achieved with the ap- plication Positive Time-Frequency ...speech signal ... See full document

9

Emotion Recognition of Speech Signals Using Priori Information of Speaker's Gender

Emotion Recognition of Speech Signals Using Priori Information of Speaker's Gender

... estimated using a windowed periodogram via the discrete Fourier transformation (DFT) ...the analysis of the emotional state of a person based on Linear predictive coding technique (LPC) for estimation of ... See full document

12

Voice-based Age and Gender Recognition using Training Generative Sparse Model

Voice-based Age and Gender Recognition using Training Generative Sparse Model

... problem using trained generative model is detailed in Algorithm ...obtained using the Algorithm 1 to represent precisely different data ...and gender of different ...observed signal over the ... See full document

7

Fuzzy Logic Based Voice Recognition as per Their Gender and Age Group

Fuzzy Logic Based Voice Recognition as per Their Gender and Age Group

... Speech recognition is the technique to convert the input speech signal (speech sig-nal) to the digital signal on which we apply some techniques and methodologies to find the voice according to ... See full document

5

An Automatic Electric Wheel Chair for Blind People

An Automatic Electric Wheel Chair for Blind People

... a voice recognition chip with on-chip analog front end, voice analysis, recognition process and system control ...input voice command is analyzed, processed, recognized and then ... See full document

7

Text-Dependent Speaker Verification System Using Neural Network.

Text-Dependent Speaker Verification System Using Neural Network.

... Voice signals when viewed from their resulting speech wave tends to look alike; the need to check these similarities arises to ensure their suitability when used for voice recognition. The Sound ... See full document

7

Classification   and   Analysis of   Emotion from Speech Signals

Classification and Analysis of Emotion from Speech Signals

... Emotion recognition through speech is an area which is increasingly attracting the attention the field of pattern recognition and speech signal processing in recent ...emotion recognition pays ... See full document

7

Voice Recognition Using Improved Relative Spectral Algorithm

Voice Recognition Using Improved Relative Spectral Algorithm

... a signal using different scales. This move towards signal processing is called multi-resolution ...the signal is not segmented or alienated uniformly by using a predetermined window ... See full document

6

Speech Emotion Recognition Using Convolutional  Recurrent Neural Networks with Attention Model

Speech Emotion Recognition Using Convolutional Recurrent Neural Networks with Attention Model

... As Fig. 2 illustrates, to feed our SER model, audio signals are first represented by time-frequency maps, which are obtained by Fast Fourier transform of the speech wave form. We used 256 FFT bins for each short-term ... See full document

10

Multimodel Biometrics on Human Distinguishing Proof Utilizing Ongoing Sifting Computation

Multimodel Biometrics on Human Distinguishing Proof Utilizing Ongoing Sifting Computation

... characteristics used to label and describe the individuality of the user. The biometrics are Gait Scan, Palm Scan, Face detection and voice recognition. In banking, the customer used for locker only on ... See full document

5

Smart Home Automation Using Voice Recognition

Smart Home Automation Using Voice Recognition

... The idea is to design a simple, yet friendly Graphical User Interface (GUI) to aid users especially disabilities and elderly person to do their daily home routine. The system should be using a simple understanding ... See full document

24

Voice recognition controlled robotic vehicle

Voice recognition controlled robotic vehicle

... prototype using voice commands from the ...robot using a Bluetooth ...of Voice Controlled Robotic Vehicle (VCRV) is to listen and act accordingly on the commands received from the ...of ... See full document

6

Gesture and voice control of internet of things : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Electronics and Computer Engineering at Massey University, Auckland, New Zealand

Gesture and voice control of internet of things : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Electronics and Computer Engineering at Massey University, Auckland, New Zealand

... which is able to measure the electric potential. And using multiple EPIC sensors can get differential data which represents the surrounding electrical field. Because human body can cause detectable change in the ... See full document

138

Human Identification using Face and Voice Recognition

Human Identification using Face and Voice Recognition

... Face recognition research has also been about for over three decades with comprehensive surveys like Zhao et ...face recognition research was based on matching single pair’s holistic facial ...Discriminate ... See full document

5

Gesture Recognition using Wireless Signal

Gesture Recognition using Wireless Signal

... So far, we assume that the transmitter transmits continuously and the receiver uses the signal to compute the Doppler shifts. This is, however, not feasible since 802.11 packets are typically less than a few ... See full document

6

Design and Development of Smart Wheelchair using Voice Recognition and Head Gesture Control System

Design and Development of Smart Wheelchair using Voice Recognition and Head Gesture Control System

... They are commonly used for a wide variety of distance measuring applications, non-contact presence, and proximity. These devices typically transmit a short burst of ultrasonic sound toward a target, which reflects the ... See full document

9

A Comparative Analysis of Gender Recognition Laws

A Comparative Analysis of Gender Recognition Laws

... legal recognition in the same way that the current law excludes Trans individuals from legal ...a gender they do not identify ...also gender identities, do not fit neatly into our concepts of either ... See full document

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