scholarly journals Formant structure of the voice during the intensive acute hypoxia

2003 ◽  
Vol 60 (2) ◽  
pp. 155-159 ◽  
Author(s):  
Jovisa Obrenovic ◽  
Milkica Nesic ◽  
Vladimir Nesic ◽  
Snezana Cekic
Keyword(s):  
Speech Signal ◽  
Signal Analysis ◽  
Acute Hypoxia ◽  
Initial Period ◽  
Formant Frequencies ◽  
Hypoxia Exposure ◽  
Structure Changes ◽  
The Voice ◽  
Reversed Order ◽  
Different Altitudes

The influence of intensive acute hypoxia on the frequency-amplitude formant vocal O characteristics was investigated in this study. Examinees were exposed to the simulated altitudes of 5 500 m and 6 700 m in climabaro chamber and resolved Lotig?s test in the conditions of normoxia, i.e. pronounced the three-digit numbers beginning from 900, but in reversed order. Frequency and intensity values of vocal O (F1, F2, F3 and F4) extracted from the context of the pronunciation of the word eight (osam in Serbian), were measured by spectral speech signal analysis. Changes in frequency values and the intensity of the formants were examined. The obtained results showed that there were no significant changes of the formant frequencies in hypoxia condition compared to normoxia. Though significant changes of formant?s intensities were found compared to normoxia on the cited altitudes. The rise of formants intensities was found at the altitude of 5 500 m. Hypoxia at the altitude of 6 700 m caused the significant fall of the intensities in the initial period, compared to normoxia. The prolonged hypoxia exposure caused the rise of the formant intensities compared to the altitude of 5 500 m. In may be concluded that due to different altitudes, hypoxia causes different effects on the formants structure changes, compared to normoxia.

The Spectral Characteristics Research of the Voice-Speech Signal in Dysphonia

2021 ◽  
Author(s):  
Olga A. Loskutova ◽  
Anastasia. V. Nenko ◽  
Yana. A. Berg ◽  
Daria V. Borovikova ◽  
Anton V. Yupashevsky
Keyword(s):  
Speech Signal ◽  
Spectral Characteristics ◽  
The Voice

scholarly journals Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis

2014 ◽  
Vol 98 (7) ◽  
pp. 12-18 ◽  
Author(s):  
Prajoy Podder ◽  
Md. Mehedi Hasan ◽  
Md. Rafiqul Islam ◽  
Mursalin Sayeed
Keyword(s):  
Speech Signal ◽  
Signal Analysis ◽  
Elliptic Filter ◽  
Design And Implementation

scholarly journals A Machine Learning Approach for Speech Detection in Modern Wireless Communication Environment

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Shibanee Dash . ◽  
Mihir Narayan Mohanty .
Keyword(s):  
Wireless Communication ◽  
Speech Signal ◽  
Symbol Error Rate ◽  
Speech Communication ◽  
Noise Levels ◽  
Speech Detection ◽  
Voice Signal ◽  
Proposed Model ◽  
Machine Learning Approach ◽  
The Voice

Modern wireless communication has gained a improved position as compared to previous time. Similarly, speech communication is the major focus area of research in respective applications. Many developments are done in this field. In this work, we have chosen the OFDM modulation based communication system, as it has importance in both licensed and unlicensed wireless communication platform. The voice signal is passed though the proposed model to obtain at the receiver end. Due to different circumstances, the signal may be corrupted partially at the user end. Authors try to achieve a better signal for reception using a neural network model of RBFN. The parameters are chosen for the RBFN model, as energy, ZCR, ACF, and fundamental frequency of the speech signal. In one part these parameters have eligibility to eliminate noise partially, where as in other part the RBFN model with these parameters proves its efficacy for both noisy speech signals with noisy channel as Gaussian channel. The efficiency of OFDM model is verified in terms of symbol error rate and the transmitted speech signal is evaluated in term of SNR that shows the reduction of noise. For visual inspection, a sample of signal, noisy signal and received signal is also shown. The experiment is performed with 5dB, 10dB, 15dB noise levels. The result proves the performance of RBFN model as the filter.The performance is measured as the listener’s voice in each condition. The results show that, at the time of the voice in noise environment, proposed technique improves the intelligibility on speech quality.

Research of Enhanced Speech Signal Based on MATLAB Simulation Platform

2013 ◽  
Vol 278-280 ◽  
pp. 1124-1128
Author(s):  
Yi Long You ◽  
Fei Zhang ◽  
Bu Lei Zuo ◽  
Feng Xiang You
Keyword(s):  
Speech Signal ◽  
Speech Intelligibility ◽  
Voice Quality ◽  
Signal Enhancement ◽  
Experimental Simulation ◽  
Simulation Platform ◽  
Matlab Simulation ◽  
Threshold Method ◽  
The Voice

Although traditional algorithms can led to suppressed voice in the noise, but the distortion of the voice is inevitable. An introduction is made as to the speech signal enhancement with an improved threshold method. Compared MATLAB experimental simulation on simulated platform with traditional enhanced algorithm, this paper aims to verify this method can effectively remove the noise in the signal, enhanced voice quality, improve speech intelligibility, and achieve the effect of the enhanced speech signal.

Human Computer Interface for Victims using FPGA

2015 ◽  
Vol 3 (2) ◽  
pp. 245-250
Author(s):  
M. S. Heetha ◽  
M. Shenbagapriya ◽  
M. Bharanidharan
Keyword(s):  
Speech Signal ◽  
Visually Impaired ◽  
English Language ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Visually Impaired People ◽  
Education Environment ◽  
Impaired People ◽  
Visually Impaired Students ◽  
The Voice

Visually impaired people face many challenges in the society; particularly students with visual impairments face unique challenges in the education environment. They struggle a lot to access the information, so to resolve this obstacle in reading and to allow the visually impaired students to fully access and participate in the curriculum with the greatest possible level of independence, a Braille transliteration system using VLSI is designed. Here Braille input is given to FPGA Virtex-4 kit via Braille keyboard. The Braille language is converted into English language by decoding logic in VHDL/Verilog and then the corresponding alphabet letter is converted into speech signal with the help of the algorithm. Speaker is used for the voice output. This project allows the visually impaired people to get literate also the person can get a conformation about what is being typed, every time that character is being pressed, this prevents the occurrence of mistakes.

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