In recent years, developing robust systems for automatic detection of pathological speech has attracted increasing interest among researchers and clinicians. This study proposes an end-to-end approach based on wavelet scattering network (WSN) speech. the proposed approach, WSN (which involves no learning) extracts suitable information from input raw signal this is then passed through a multi-la...

The MPEG-1 Layer 3 compression schema of audio signal, or commonly known as mp3, has caused a great impact in recent years as it has reached high compression rates while also conserving a high sound quality. Previous listening tests have shown that music and speech samples compressed at high bitrates are virtually indistinguishable from the original samples, but very little is known about how c...

The acoustic/phonetic characteristics of speech vary as a function of speaker, rate of speech, prosody, and so forth. Yet, when we process our native language, we are hardly ever aware of such variability; indeed, these variations are apparently dealt with automatically and effortlessly by the perceptual system. However, when processing artificially degraded speech or when listening to speakers...

The application of an adaptive compressive sensing method in the speech signal processing is proposed in this paper. First, the threshold of wavelet transform is used to preprocess the speech signal. Then, according to the parameters of the speech frame, each frame is adaptively assigned a measurement number. Finally, the measurement matrix is used to reconstruct the speech signal. Experimental...

Compressed sensing (CS) is a rising focus in recent years for its simultaneous sampling and compression of sparse signals. Speech signals can be considered approximately sparse or compressible in some domains for natural characteristics. Thus, it has great prospect to apply compressed sensing to speech signals. This paper is involved in three aspects. Firstly, the sparsity and sparsifying matri...

The acoustic/phonetic characteristics of speech vary as a function of speaker, rate of speech, prosody, and so forth. Yet, when we process our native language, we are hardly ever aware of such variability; indeed, these variations are apparently dealt with automatically and effortlessly by the perceptual system. However, when processing artificially degraded speech or when listening to speakers...

Perceptual adaptation to time-compressed speech was analyzed in two experiments. Previous research has suggested that this adaptation phenomenon is language specific and takes place at the phonological level. Moreover, it has been proposed that adaptation should only be observed for languages that are rhythmically similar. This assumption was explored by studying adaptation to different time-co...

The sparsity of the speech signals is utilized in the DCT domain. According to the characteristics of the voice which may be separated into voiceless and voiced one, an adaptive measurement speech recovery method is proposed in this paper based on compressed sensing. First, the observed points are distributed based on the voicing energy ratio which the entire speech segment occupies. Then the s...

In this paper, the results of both normal-hearing, and profoundly hearing-impaired adults, tested with spectrum compressed speech via the modified chirp-z algorithm, with and without visual stimuli, are reported. Ten normal-hearing adult listeners and three profoundly hearingimpaired adult listeners were asked to identify nonsense syllables presented auditorily and bimodally (audition and visio...

Mobile multimedia applications, the focus of many forthcoming wireless services, increasingly demand low-power techniques implementing content protection and customer privacy. In this paper low complexity perception-based partial encryption schemes for speech are presented. Speech compressed by a widely-used speech coding algorithm, the ITU-T G.729 standard at 8 kb/s, is partitioned in two clas...