A practical speech enhancement system consists of two major components, the estimation of noise power spectrum, and the estimation of speech.In single channel speech enhancement systems, most algorithms require an estimation of average noise spectrum since a secondary channel is not available. This requires a reliable speech/silence detector. Thus the speech/silence detection can be a determini...

Until now little research has been done in the area of animal sound identification. Animal sound classification and retrieval is very helpful for bioacoustics and audio retrieval applications. This paper is a literature review of an animal identification and detection system based on animal voice pattern recognition. The system uses the ZeroCross-Rate (ZCR), Mel-Frequency Cepstral Coefficients ...

This paper is an outcome of the business ethics course conducted during third semester MBA and aims to examine how a subordinate employee’s response, either by raising concern or being quiet repeated misbehavior leader, impacts organization. Primary data was collected from employees mid-sized IT companies in India using five-point Likert scale questionnaire. Structural equation modeling has bee...

ABSTRACT This article is the result of a qualitative-documentary research, which sought to identify ‘a grammar’ oppressed childhood based on review references, meanings, and evocations that Paulo Freire makes about children in some his works. Three elements this grammar were identified. Oppressed appears corporations marked by hunger malnutrition, views imposition silence child’s voice, histori...

The LTSE-VAD is one of the best known algorithms for voice activity detection. In this paper we present a modified version of this algorithm, that makes the VAD decision not taking into account account the estimated background noise level, but the signal to noise ratio (SNR). This makes the algorithm robust not only to noise level changes, but also to signal level changes. We compare the modifi...

This paper explores the use of lips movements for the purpose of speaker and voice activity detection, a task that is essential in multi-modal multiparty human machine dialogue. The task aims at detecting who and when someone is speaking out of a set of persons. A multiparty dialogue consisting of 4 speakers is audiovisually recorded and then annotated for speaker and speech/silence segments. L...