A study method of noise effects on the acoustic parameters of speech signal

2012 ◽  
Author(s):  
Leila Falek ◽  
Hocine Teffahi ◽  
Amar Djeradi
Keyword(s):  
Speech Signal ◽  
Acoustic Parameters ◽  
Noise Effects

Predictive speech signal coding with reduced noise effects

1983 ◽  
Vol 73 (2) ◽  
pp. 717-718
Author(s):  
Bishnu S. Atal ◽  
Manfred R. Schroeder
Keyword(s):  
Speech Signal ◽  
Noise Effects ◽  
Signal Coding

The Relation Between Speech Perception and Phonemic Awareness

1996 ◽  
Vol 39 (5) ◽  
pp. 1059-1070 ◽  
Author(s):  
Susan Nittrouer
Keyword(s):  
Phonemic Awareness ◽  
Speech Signal ◽  
Native Language ◽  
Developmental Change ◽  
Chronic Otitis Media ◽  
Control Group ◽  
Low Ses ◽  
Acoustic Parameters ◽  
Linguistic Experience ◽  
Perceptual Weighting

The Developmental Weighting Shift (DWS) suggests that children adjust the weights they assign to the acoustic parameters of the speech signal as they gain experience with a native language, and that this developmental shift in perceptual weighting strategies is related to another developmental change: increased sensitivity to the phonetic structure of the speech signal. To test these claims, children presumed to differ in the amount of linguistic experience they had received during their preschool years participated in two kinds of tasks: a labeling task designed to estimate differences among groups in the weights assigned to various acoustic parameters, and tasks of phonemic awareness. The experimental groups were children from low-socioeconomic (low-SES) backgrounds, children with histories of chronic otitis media (OM), and children who experienced both conditions. A control group of children who experienced neither of these conditions also participated. The hypotheses were that, because of their diminished linguistic experience, children in the three experimental groups would display both more immature weighting strategies and poorer phonemic awareness than children in the control group, and that developmental advance in perceptual weighting strategies and phonemic awareness would be correlated. Results indicated that children with histories of chronic OM performed more poorly on both kinds of tasks than did children in the control group, and low-SES children performed more poorly still. Children experiencing both low-SES and chronic OM performed no differently than the low-SES children. These results provide support for the claim that the development of mature perceptual weighting strategies for speech and of phonemic awareness are related. Support is also provided for the claim that both depend on receiving sufficient and appropriate experience with a native language during the preschool years.

scholarly journals Orthoepical potential of speaking in the Yakut language

2018 ◽  
Vol 55 ◽  
pp. 04019
Author(s):  
Ivan Alexeyev ◽  
Irina Sorova
Keyword(s):  
Speech Signal ◽  
Speech Signals ◽  
Acoustic Parameters ◽  
Word Combination ◽  
Language Patterns ◽  
Important Object ◽  
Speech Model ◽  
Patterns Of Interaction

The article deals with the study of the general Yakut speaking base – articulation as a model. It forms the orthoepical potential of the Yakut language. Patterns of interaction of language and intonational structures of a separate word, word-combination and communicational types of phrases are defined. Criteria of speaking behavior are also defined, on the basis of which indicators of correctness of perceived acoustic parameters of articulated speech signals are revealed. This whole complex of articulatory-acoustic speech indicators allows to consider speech signal as not only physiological formation, but also as indispensable designer of cogitative sides of speaking act. Therefore, in standard peculiarities of Yakut speaking, specific parameters are formed, due to which judgmental potential of speech model is typologically formed. Logically-grammar peculiarity of speaking act as semantically important object forms standard feature of idea. Consequently, discussed acoustic parameters of existing Yakut speaking establish defining their communicational formula of types of utterances.

Perceptual Learning of Vocoded Speech With and Without Contralateral Hearing: Implications for Cochlear Implant Rehabilitation

2020 ◽  
pp. 1-10
Author(s):  
Martin Chavant ◽  
Alexis Hervais-Adelman ◽  
Olivier Macherey
Keyword(s):  
Cochlear Implant ◽  
Perceptual Learning ◽  
Speech Signal ◽  
Training Phase ◽  
Monosyllabic Words ◽  
Low Pass ◽  
Contralateral Ear ◽  
Number Of Individuals ◽  
Insight Into ◽  
Vocoded Speech

Purpose An increasing number of individuals with residual or even normal contralateral hearing are being considered for cochlear implantation. It remains unknown whether the presence of contralateral hearing is beneficial or detrimental to their perceptual learning of cochlear implant (CI)–processed speech. The aim of this experiment was to provide a first insight into this question using acoustic simulations of CI processing. Method Sixty normal-hearing listeners took part in an auditory perceptual learning experiment. Each subject was randomly assigned to one of three groups of 20 referred to as NORMAL, LOWPASS, and NOTHING. The experiment consisted of two test phases separated by a training phase. In the test phases, all subjects were tested on recognition of monosyllabic words passed through a six-channel “PSHC” vocoder presented to a single ear. In the training phase, which consisted of listening to a 25-min audio book, all subjects were also presented with the same vocoded speech in one ear but the signal they received in their other ear differed across groups. The NORMAL group was presented with the unprocessed speech signal, the LOWPASS group with a low-pass filtered version of the speech signal, and the NOTHING group with no sound at all. Results The improvement in speech scores following training was significantly smaller for the NORMAL than for the LOWPASS and NOTHING groups. Conclusions This study suggests that the presentation of normal speech in the contralateral ear reduces or slows down perceptual learning of vocoded speech but that an unintelligible low-pass filtered contralateral signal does not have this effect. Potential implications for the rehabilitation of CI patients with partial or full contralateral hearing are discussed.

Rule Invention in the Acquisition of Morphology Revisited

1988 ◽  
Vol 31 (3) ◽  
pp. 425-431 ◽  
Author(s):  
Stephen M. Camarata ◽  
Lisa Erwin
Keyword(s):  
Language Acquisition ◽  
Active Role ◽  
Acoustic Parameters ◽  
Impaired Child ◽  
Language Impaired ◽  
Intensity Parameters ◽  
Suprasegmental Features ◽  
Acoustic Analyses ◽  
Suprasegmental Cues

This paper presents a case study of a language-impaired child who signaled the distinction between English singular and plural using suprasegmental cues rather than the usual segmental form used within the parent language. Acoustic analyses performed within the first study in the paper revealed that the suprasegmental features used to maintain this distinction included various duration, fundamental frequency, and intensity parameters. Acoustic analyses Were also performed on a set of matched two- and four-item plural forms within a second study. The results of these analyses indicated that the same acoustic parameters were used to distinguish two-item plural forms from four-item plural forms. This case of linguistic creativity is offered as further evidence in support of the model of language acquisition that emphasizes the active role children take in the acquisition process. Additionally, the phonological, morphological, and psycholinguistic factors that may contribute to such rule invention are discussed.

“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak
Keyword(s):  
Speech Production ◽  
Speech Signal ◽  
Clinical Utility ◽  
Acoustic Analysis ◽  
Moment Analysis ◽  
Analysis Tool ◽  
Spectral Moment ◽  
Clinical Measure ◽  
Perceptual Analysis ◽  
Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

Method for measuring distortions of a speech signal during its transmission over a communication channel to a biometric identification system

2020 ◽  
pp. 65-72
Author(s):  
V. V. Savchenko ◽  
A. V. Savchenko
Keyword(s):  
Speech Signal ◽  
Communication Channel ◽  
Speaker Identification ◽  
A Priori ◽  
Small Samples ◽  
Practical Implementation ◽  
Identification System ◽  
New Information ◽  
Discrimination Criterion ◽  
A Priori Uncertainty

This paper is devoted to the presence of distortions in a speech signal transmitted over a communication channel to a biometric system during voice-based remote identification. We propose to preliminary correct the frequency spectrum of the received signal based on the pre-distortion principle. Taking into account a priori uncertainty, a new information indicator of speech signal distortions and a method for measuring it in conditions of small samples of observations are proposed. An example of fast practical implementation of the method based on a parametric spectral analysis algorithm is considered. Experimental results of our approach are provided for three different versions of communication channel. It is shown that the usage of the proposed method makes it possible to transform the initially distorted speech signal into compliance on the registered voice template by using acceptable information discrimination criterion. It is demonstrated that our approach may be used in existing biometric systems and technologies of speaker identification.

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