Noise fields encountered in real-life scenarios can often be approximated as spherical or cylindrical noise fields. The characteristics of the noise field can be described by a spatial coherence function. For simulation purposes, researchers in the signal processing community often require sensor signals that exhibit a specific spatial coherence function. In addition, they often require a speci...

The present experiments examine the effects of listener age and hearing sensitivity on the ability to understand temporally altered speech in quiet when the proportion of a sentence processed by time compression is varied. Additional conditions in noise investigate whether or not listeners are affected by alterations in the presentation rate of background speech babble, relative to the presenta...

The speech enhancement problem comprises of various problems characterized by the type of noise source, the nature of interaction between speech and noise, the number of sensor signals (microphone outputs) available for enhancement and the nature of the speech application. Noise reduction remains a demanding problem due to wide variety of background noise types (car noise, babble noise, cockpit...

This study aimed to characterize the linguistic interference that occurs during speech-in-speech comprehension by combining offline and online measures, which included an intelligibility task (at a -5 dB Signal-to-Noise Ratio) and 2 lexical decision tasks (at a -5 dB and 0 dB SNR) that were performed with French spoken target words. In these 3 experiments we always compared the masking effects ...

Machine learning algorithms to segregate speech from background noise hold considerable promise for alleviating limitations associated with hearing impairment. One of the most important considerations for implementing these algorithms into devices such as hearing aids and cochlear implants involves their ability to generalize to conditions not employed during the training stage. A major challen...

Speech quality significantly affects the performance of speech dependent systems. Noise in background lowers clarity and intelligibility speech. The augmentation can increase its quality. We propose a single-channel improvement framework that combines particle swarm optimization (PSO), gravitational search algorithm (GSA), harmonic regeneration noise reduction (HRNR) to minimize signal intellig...

A statistical noise compensation algorithm is proposed for cochlear implant processing to improve cochlear implant patients’ speech performance in noise. With the well-known environmental model for speech in additive noise, the MMSE (minimum mean square error) estimation of clean speech signals was derived according to the noisy speech observation based on a linear approximation of the original...

OBJECTIVE The study was designed to assess the effects of noise on the intelligibility of speech elements used in the Callsign Acquisition Test (CAT), developed by the U.S. Army Research Laboratory. The CAT consists of 126 test items, or callsigns, each of which is made up of a two-syllable word selected from the 18-item military alphabet (Alpha-Zulu) followed by a one-syllable number (all numb...