A conventional measure to determine the ability to understand speech in noisy backgrounds is the so-called speech reception threshold (SRT) for sentences. It yields the signal-to-noise ratio (in dB) for which half of the sentences are correctly perceived. The SRT defines to what degree speech must be audible to a listener in order to become just intelligible. There are indications that elderly ...

Performance of automatic speech recognition relies on a vast amount of training speech data mostly recorded with little or no background noise. The performance degrades significantly with existence of background noise, which increases type mismatch between train and test environments. Speech enhancement techniques can reduce the amount of type mismatch by extracting reliable speech features fro...

Musicians have lifelong experience parsing melodies from background harmonies, which can be considered a process analogous to speech perception in noise. To investigate the effect of musical experience on the neural representation of speech-in-noise, we compared subcortical neurophysiological responses to speech in quiet and noise in a group of highly trained musicians and nonmusician controls....

This paper presents an analysis of Lombard speech produced under different types and levels of noise. The speech used for the analysis forms a part of the UT-SCOPE database and consists of sentences from the well-known TIMIT corpus, spoken in the presence of highway, large crowd and pink noise. Differences are shown to exist in the speech characteristics under these varying noise types. The det...

A nonlinear multiband spectral subtraction method is investigated in this study to reduce the colored electronic noise in millimeter wave MMW radar conducted speech. Because the oversubtraction factor of each Bark frequency band can be adaptively adjusted, the nonuniform effects of colored noise in the spectrum of the MMW radar speech can be taken into account in the enhancement process. Both t...

Problem statement: Dialects of Thai are quite different in the speaking styles. Environmental noises play an important role in corrupting the communication speech quality. Two factors affect the coded speech in the present speech communication. It is necessary to investigate how the two factors influence on the speech compression. Approach: In this study, the Multi-Pulse based Code Excited Line...

This paper describes a speech-in-noise test which is suitable for testing both human and machine speech recognition in noise. The test uses spoken digit triplets, presented in a range of babble backgrounds and signal-to-noise ratios (SNRs). The performance of a normal hearing (NH) and hearing impaired (HI) listener have been assessed using the test. Both listeners show a fall in performance wit...

OBJECTIVE The aim of the study was to investigate the utility of an internet-based version of the trail making test (TMT) to predict performance on a speech-in-noise perception task. DESIGN Data were taken from a sample of 1509 listeners between ages 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition test. All testing was c...

In this paper, we present an on-line semi-supervised algorithm for real-time separation of speech and background noise. The proposed system is based on Nonnegative Matrix Factorization (NMF), where fixed speech bases are learned from training data whereas the noise components are estimated in real-time on the recent past. Experiments with spontaneous conversational speech and real-life nonstati...

The purpose of the study was to examine how teacher motivational practice might influence Iranian EFL Learners’ Request and Refusal Speech Acts Production. To this end, five instruments were used to provide appropriate responses to research questions: (a) Quick Placement Test (b) the Motivational Orientation of Language Teaching classroom observation scheme, (c) the Post-Lesson Teacher Evaluati...