Speech can be modeled as short bursts of vocal energy separated by silence gaps. During typical conversation, talkspurts comprise only 40% of each party’s speech and remaining 60% is silence. Communication systems can achieve spectral gain by disconnecting the users from the spectral resource during silence periods. This letter develops a simple and efficient Voice Activity Detection (VAD) algo...

In this paper, we proposed a system for automatic classification of speech. A speech signal contains three different regions voiced, unvoiced and silence. In the proposed system, Zero-Crossing rate and short term energy are used in a fuzzy logic control this classification. Arabic digits of the KSU database is used to test our proposed method. The proposed method achieves 2.5 % error between hu...

This paper presents a method of voice activity detection (VAD) for high noise scenarios, using a noise robust voiced speech detection feature. The developed method is based on the fusion of two systems. The first system utilises the maximum peak of the normalised time-domain autocorrelation function (MaxPeak). The second system uses a novel combination of cross-correlation and zero-crossing rat...

The nonverbal content of speech carries information about the physiological and psychological condition of the speaker. Psychological stress is a pathological element of this condition, of which the cause is accepted to be “workload”. Objective, quantifiable correlates of stress are searched for by means of measuring the acoustic modifications of the voice brought about by workload. Different v...

Procedures were developed to partially automate the captioning process by estimating caption time codes using plain-text transcripts and audio recordings. Signal analysis is performed on the audio to measure pause location and duration, zero crossing rate (ZCR), and obtain frequency domain data. Algorithms were developed to match pauses in the audio to the ends of sentences in the transcript ba...

A new method for identifying voiced and unvoiced speech region is proposed. Voiced/unvoiced speech detection is needed to extract information from the speech signal and it is important in the area of speech analysis. Voiced and unvoiced speech region has been identified using Short Term Processing (STP) in this paper. Short Term Processing of speech has been performed by viewing the speech sign...

We propose a relative estimation method for subjective age, imaged by ourselves, using peoples’ facial images and their chronological (real) age. We experimented with a rating scale for facial images which stimulated subjects. The subject evaluated an image as looking older than themselves with a range of responses. Finding an approximation curve of this range, the zero crossing point in the ap...

[lo] H. Cramer and M. Leadbetter, “The moments of the number of [13] L. Ehrman, “Analysis of a zero-crossing frequency discriminator crossings of a level by a stationary normal process,” Ann. Math. with random inputs,” IEEE Trans. Aerospace and Navigational Stat., vol. 36, pp. 165661663, 1965. Electronics, vol. ANE-12, pp. 113-119, June 1965. [II] M. Loeve, Probability Theory. New York: Van Nos...

We prove that the number γN of the zeros of a two-parameter simple random walk in its first N × N time steps is almost surely equal to N as N →∞. This is in contrast with our earlier joint effort with Z. Shi [4]; that work shows that the number of zero crossings in the first N × N time steps is N (3/2)+o(1) as N → ∞. We prove also that the number of zeros on the diagonal in the first N time ste...

Buprenorphine is a partial mu agonist and kappa antagonist which is used for the treatment of pain and opioid addiction. A mixture of buprenorphine hydrochloride and naloxone hydrochloride has been approved for the treatment of opioid dependence.In this study a third order derivative spectrophotometric method based on zero-crossing technique has been used for the simultaneous determination of b...