Low bitrate speech coding nds application in both telecommunications (band-width compression) and archival ((le compression). Speaker veriication is used in telecom-munication applications (to gain access to particular services, for example) and implies that either or both of the speech data streams (incoming and reference) may be compressed. In this paper, we investigate the eeect of high comp...

The ability of RHD patients to use context under conditions of increased processing demands was examined. Subjects monitored for words in auditorily presented sentences of three context types-normal, semantically anomalous, and random, at three rates of speech normal, 70% compressed (Experiment 1) and 60% compressed (Experiment 2). Effects of semantics and syntax were found for the RHD and norm...

Listeners show remarkable flexibility in processing variation in speech signal. One striking example is the ease with which they adapt to novel speech distortions such as listening to someone with a foreign accent. Behavioural studies suggest that significant improvements in comprehension occur rapidly--often within 10-20 sentences. In the present experiment, we investigate the neural changes u...

<span lang="EN-US">Compression and encryption of speech signals are essential multimedia technologies. In the field speech, these technologies needed to meet security confidentiality information requirements for transferring huge via a network, decreasing storage space rapid retrieval. this paper, we propose an algorithm that includes hybrid transformation in order analyses signal frequen...

The main concern of this paper is speech data compression for low-cost embedded systems such as voice-related toys or devices with interactive sound-responses. We use a PC to generate and compress 8-bit-speech-data that has various features such as human speech, symphony and animal songs; the compressed data are then transferred to a masked-ROM. An Intel 8051 embedded chip is employed to expand...

Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...

When presented with several time-compressed sentences, young adults' performance improves with practice. Such adaptation has not been studied in older adults. To study age-related changes in perceptual learning, the authors tested young and older adults' ability to adapt to degraded speech. First, the authors showed that older adults, when equated for starting accuracy with young adults, adapte...