The emerging applications of wireless speech communication are demanding increasing levels of performance in noise adverse environments together with the design of high response rate speech processing systems. This is a serious obstacle to meet the demands of modern applications and therefore these systems often needs a noise reduction algorithm working in combination with a precise voice activ...

Currently, the accuracy of speech processing systems is strongly affected by the acoustic noise. This is a serious obstacle to meet the demands of modern applications and therefore these systems often needs a noise reduction algorithm working in combination with a precise voice activity detector (VAD). This paper presents a new voice activity detector (VAD) for improving speech detection robust...

Reliable, automatic and objective detector of pathological voice disorders from speech signals is a long sought-for tool, by voice clinicians as well as by general practitioners. Such a detector can also be used for low-cost and noninvasive mass-screening, diagnosis and early detection of voice pathology for professionals using voice as an essential career tool, for humans working in risky envi...

English. Several Voice or Speaker Activity Detection (VAD) systems exist in literature. They are indeed a fundamental part of complex systems that deals with speech processing. In this work the authors exploit neural network based VAD to address the speaker activity detection in a multiroom domestic scenario. The goal is to detect the voice activity in each of the two target rooms in presence o...

In recent years, voice activity detection has been a highly researched field, due to its importance as input stage in many real-world applications. Automated detection of vocalisations in the very first year of life is still a stepchild of this field. On our quest defining acoustic parameters in pre-linguistic vocalisations as markers for neuro(mal)development, we are confronted with the challe...

Voice recognition plays a key function in spoken communication that facilitates identifying the emotions of person reflects within voice. Gender classification through speech is popular Human Computer Interaction (HCI) method on account determining gender computer hard. This led to development model for "Voice feature extraction Emotion and Recognition". The signal consists semantic information...

The well known fact is that the performance of the Speech Recognition System degrades drastically in Adverse Environments. Additive noise is one of the major element of adverse noisy environment. Detecting voiced, un-voiced or silent speech signal in noisy environment is not an easy task. A voice activity detector (VAD) is effective when the noise is stationary; it often fails when the noise st...

Singing melody extraction is the task that identifies the melody pitch contour of singing 1 voice from polyphonic music. Most of the traditional melody extraction algorithms are based on 2 calculating salient pitch candidates or separating the melody source from the mixture. Recently, 3 classification-based approach based on deep learning has drawn much attentions. In this paper, 4 we present a...

Voice Activity Detection in movies is a non-trivial and challenging task. The different emotional states of the speakers, as well as the variety of soundscapes and noises contribute to the complexity of the task. In this paper, we propose a set of lightweight features that are specifically designed to perform under such conditions, while at the same time preventing confusions of singing voice w...