Usable speech is a novel concept related to the co-channel speech problem. Co-channel speech occurs when more than one person is talking at the same time. The idea of usable speech is to identify and extract those portions of co-channel speech that are still useful for speech processing applications such as speaker identification or speech recognition, which do not work in cochannel environment...

Many applications of speech communication and speaker identification suffer from the problem of co-channel speech. This paper deals with a multi-resolution dyadic wavelet transform method for usable segments of co-channel speech detection that could be processed by a speaker identification system. Evaluation of this method is performed on TIMIT database referring to the Target to Interferer Rat...

We consider the problem of detecting stop consonants in continuously spoken speech. We pose the problem as one of finding the optimal filter (linear or non-linear) that operates on a particular appropriately chosen representation. We discuss the performance of several variants of a canonical stop detector and consider its implications for human and machine speech recognition.

Hate speech is one of the serious problems related to presence internet, particularly social media. Media literacy education on hate efforts overcome problem. This community service was held in Klaseman Village, Sukoharjo. It aims increase target’s media speech. The target expected be able access internet wisely and avoid practice result achieved from that had knowledge skills prevent counter s...

The problem of inferring human emotional state automatically from speech has become one the central problems in Man Machine Interaction (MMI). Though Support Vector Machines (SVMs) were used several worksfor emotion recognition speech, potential using probabilistic SVMs for this task is not explored. emphasis current work on how to use efficient emotions speech. Emotional corpuses two Dravidian...

PURPOSE Speech perception in participants with auditory neuropathy (AN) was systematically studied to answer the following 2 questions: Does noise present a particular problem for people with AN? Can clear speech and cochlear implants alleviate this problem? METHOD The researchers evaluated the advantage in intelligibility of clear speech over conversational speech in 13 participants with AN....

This study examined (a) developmental stability and change in children's private speech during the preschool years, (b) across-task consistency in children's self-speech, and (c) across-setting relations between children's private speech in the laboratory and their behaviour at home and in the preschool classroom. A group of 32 normally developing three- and four-year-old children was observed ...

In this paper, we use Radial Basis Function Networks (RBFN) for solving the problem of environmental interference cancellation of speech signal. We show that the Second Order ThinPlate Spline (SOTPS) kernel cancels the interferences effectively. For make comparison, we test our experiments on two conventional most used RBFN kernels: the Gaussian and First order TPS (FOTPS) basis functions. The ...

we addressed the problem of remove the non-voice disturbance in speech recognition. It is always a big problem that the system will wrongly recognize our natural sound, like cough, breath, or sound of lip, nose as speech input and give “recognized ” words output, when we use a speech recognition system. As we know, such non-voice speech is unavoidable for natural speaking, and if we don’t suppl...