Music Perception in Children With Cochlear Implants

2010 ◽  
Vol 20 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Lindsay Scattergood ◽  
Charles J. Limb
Keyword(s):  
Cochlear Implants ◽  
Speech Processing ◽  
High Performance ◽  
Music Perception ◽  
Spoken Language ◽  
Great Promise ◽  
Profound Hearing Loss ◽  
Sound Perception ◽  
Technological Advances ◽  
High Level

Abstract As a result of the widespread use of cochlear implants, individuals with profound hearing loss now are able to hear sounds ranging from a syllable to a symphony. This form of “electric hearing” has been remarkably successful in providing sound to the deaf population and at least 100,000 implantation procedures have been performed worldwide in more than 80 countries (Clark, 2008). Today, it is routine for post-lingual deafened individuals (one who lost their hearing after normal childhood language acquisition) to achieve high performance on language tests following implantation (Lalwani, Larky, Wareing, Kwast, & Schindler, 1998). Deaf children implanted at an early age with a CI usually develop excellent spoken language skills, with placement into mainstream educational schooling (Francis, Koch, Wyatt, & Niparko, 1999). The overwhelming emphasis on language perception in CI users has led to relative neglect of non-linguistic sound perception. Yet, the auditory world consists of many other sounds besides those of spoken language. Of all non-linguistic sounds, perception of music—particularly pitch and timbre—represents the greatest challenge for implant-mediated listening (Limb, 2006). High-level perception of music rarely is attained through conventional speech processing technology in adults or children. Recent technological advances, however, have increased the processing capabilities of modern CIs and hold great promise for music perception and quality of life for children with cochlear implants (Lassaletta et al., 2007).

3D Stacks of Microprocessors and Memories With Backside Two-Phase Multi-Microchannel Cooler

2013 ◽  
Author(s):  
Jackson B. Marcinichen ◽  
John R. Thome
Keyword(s):  
Integrated Circuit ◽  
High Performance ◽  
Flow Distribution ◽  
Two Phase ◽  
Hydrodynamic Simulations ◽  
3D Ics ◽  
Technological Advances ◽  
High Level ◽  
Transfer Of Information ◽  
High Performance Computers

For the next generation of high performance computers, the new challenges are to shorten the distance for transporting data (to accelerate the transfer of information) between multi-microprocessors and memories, and to cool these electronic components despite the increased heat flux that results from increased transistor density. Recent technological advances show a tendency for the development of 3D integrated circuit stacked architectures with interlayer cooling (multi-microchannels in the silicon layers). However, huge challenges exist in such design/concept, i.e. flow distribution to hundreds microchannels distributed in the different interlayers, thermo-hydrodynamic and geometrical limitations, manufacturing etc. 3D-ICs with interlayer cooling are still about a decade away, so a viable shorter term goal is 3D stacks with backside cooling, taking advantage of Si layers now able to be thineer down to only 50 μm thickness. Thus, the present work presents thermo-hydrodynamic simulations for 3D stacks considering only a backside cooler, which simplifies considerably the assembly and guarantees a high level of reliability. In summary, the results showed that this concept is thermally feasible and potentially that interlayer microchannels (between stacks) will not be necessary.

Current Practices in Pediatric Cochlear Implantation

2009 ◽  
Vol 19 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Tamala S. Bradham ◽  
Geneine Snell ◽  
David Haynes
Keyword(s):  
Hearing Loss ◽  
Cochlear Implants ◽  
Cochlear Implantation ◽  
Healthcare Providers ◽  
Interdisciplinary Teams ◽  
Profound Hearing Loss ◽  
Comprehensive Management ◽  
Technological Advances ◽  
Management Protocol ◽  
Professional Guidelines

Abstract Technological advances, specifically cochlear implants, have significantly impacted the treatment of children with severe to profound hearing loss. There are, however, very few professional guidelines or resources providing direction for hearing healthcare providers who are serving children with cochlear implants. The following article discusses a comprehensive management protocol for interdisciplinary teams providing cochlear implant services for children.

scholarly journals Separating the effects of acoustic and phonetic factors in linguistic processing with impoverished signals by adults and children

2012 ◽  
Vol 35 (2) ◽  
pp. 333-370 ◽  
Author(s):  
SUSAN NITTROUER ◽  
JOANNA H. LOWENSTEIN
Keyword(s):  
Cochlear Implants ◽  
Phonemic Awareness ◽  
Short Term Memory ◽  
Spoken Language ◽  
Linguistic Processing ◽  
Short Term ◽  
Profound Hearing Loss ◽  
Opposite Pattern ◽  
Acoustic Structure ◽  
Adults And Children

ABSTRACTCochlear implants allow many individuals with profound hearing loss to understand spoken language, even though the impoverished signals provided by these devices poorly preserve acoustic attributes long believed to support recovery of phonetic structure. Consequently, questions may be raised regarding whether traditional psycholinguistic theories rely too heavily on phonetic segments to explain linguistic processing while ignoring potential roles of other forms of acoustic structure. This study tested that possibility. Adults and children (8 years old) performed two tasks: one involving explicit segmentation, phonemic awareness, and one involving a linguistic task thought to operate more efficiently with well-defined phonetic segments, short-term memory. Stimuli were unprocessed (UP) signals, amplitude envelopes (AE) analogous to implant signals, and unprocessed signals in noise (NOI) that provided a degraded signal for comparison. Adults’ results for short-term recall were similar for UP and NOI, but worse for AE stimuli. The phonemic awareness task revealed the opposite pattern across AE and NOI. Children's results for short-term recall showed similar decrements in performance for AE and NOI compared to UP, even though only NOI stimuli showed diminished results for segmentation. Conclusions were that perhaps traditional accounts are too focused on phonetic segments, something implant designers and clinicians need to consider.

scholarly journals GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets

2020 ◽  
Author(s):  
Miroslav Kratochvíl ◽  
Oliver Hunewald ◽  
Laurent Heirendt ◽  
Vasco Verissimo ◽  
Jiří Vondrášek ◽  
...  
Keyword(s):  
Single Cell ◽  
High Performance ◽  
Single Cells ◽  
Distributed Processing ◽  
Multidimensional Data ◽  
List Type ◽  
Technological Advances ◽  
Data Points ◽  
High Level ◽  
Complex Phenomena

AbstractBackgroundThe amount of data generated in large clinical and phenotyping studies that use single-cell cytometry is constantly growing. Recent technological advances allow to easily generate data with hundreds of millions of single-cell data points with more than 40 parameters, originating from thousands of individual samples. The analysis of that amount of high-dimensional data becomes demanding in both hardware and software of high-performance computational resources. Current software tools often do not scale to the datasets of such size; users are thus forced to down-sample the data to bearable sizes, in turn losing accuracy and ability to detect many underlying complex phenomena.ResultsWe present GigaSOM.jl, a fast and scalable implementation of clustering and dimensionality-reduction for flow and mass cytometry data. The implementation of GigaSOM.jl in the high-level and high-performance programming language Julia makes it accessible to the scientific community, and allows for efficient handling and processing of datasets with billions of data points using distributed computing infrastructures. We describe the design of GigaSOM.jl, measure its performance and horizontal scaling capability, and showcase the functionality on a large dataset from a recent study.ConclusionsGigaSOM.jl facilitates utilization of the commonly available high-performance computing resources to process the largest available datasets within minutes, while producing results of the same quality as the current state-of-art software. Measurements indicate that the performance scales to much larger datasets. The example use on the data from an massive mouse phenotyping effort confirms the applicability of GigaSOM.jl to huge-scale studies.Key pointsGigaSOM.jl improves the applicability of FlowSOM-style single-cell cytometry data analysis by increasing the acceptable dataset size to billions of single cells.Significant speedup over current methods is achieved by distributed processing and utilization of efficient algorithms.GigaSOM.jl package includes support for fast visualization of multidimensional data.

Signal Coding in Cochlear Implants: Exploiting Stochastic Effects of Electrical Stimulation

2003 ◽  
Vol 112 (9_suppl) ◽  
pp. 14-19 ◽  
Author(s):  
Jay T. Rubinstein ◽  
Robert Hong
Keyword(s):  
Electrical Stimulation ◽  
Speech Perception ◽  
Cochlear Implants ◽  
Speech Processing ◽  
Music Perception ◽  
Dynamic Range ◽  
High Rate ◽  
Monosyllabic Word ◽  
Stochastic Effects ◽  
Processing Strategies

Speech perception in quiet with cochlear implants has increased substantially over the past 17 years. If current trends continue, average monosyllabic word scores will be nearly 80% by 2010. These improvements are due to enhancements in speech processing strategies, to the implantation of patients with more residual hearing and shorter durations of deafness, and to unknown causes. Despite these improvements, speech perception in noise and music perception are still poor in most implant patients. These deficits may be partly due to poor representation of temporal fine structure by current speech processing strategies. It may be possible to improve both this representation and the dynamic range of electrical stimulation through the exploitation of stochastic effects produced by high-rate (eg, 5-kilopulse-per-second) pulse trains. Both the loudness growth and the dynamic range of low-frequency sinusoids have been enhanced via this technique. A laboratory speech processor using this strategy is under development. Although the clinical programming for such an algorithm is likely to be complex, some guidelines for the psychophysical and electrophysiological techniques necessary can be described now.

Cochlear Implants

2021 ◽  
Author(s):  
Matthew B. Winn ◽  
Peggy B. Nelson
Keyword(s):  
Cochlear Implants ◽  
Functional Outcomes ◽  
Spoken Language ◽  
Speech Understanding ◽  
Children And Families ◽  
Cultural Backgrounds ◽  
Profound Hearing Loss ◽  
Percent Correct ◽  
Spoken Language Skills ◽  
Manner Of Articulation

Cochlear implants (CIs) are the most successful sensory implant in history, restoring the sensation of sound to thousands of persons who have severe to profound hearing loss. Implants do not recreate acoustic sound as most of us know it, but they instead convey a rough representation of the temporal envelope of signals. This sparse signal, derived from the envelopes of narrowband frequency filters, is sufficient for enabling speech understanding in quiet environments for those who lose hearing as adults and is enough for most children to develop spoken language skills. The variability between users is huge, however, and is only partially understood. CIs provide acoustic information that is sufficient for the recognition of some aspects of spoken language, especially information that can be conveyed by temporal patterns, such as syllable timing, consonant voicing, and manner of articulation. They are insufficient for conveying pitch cues and separating speech from noise. There is a great need for improving our understanding of functional outcomes of CI success beyond measuring percent correct for word and sentence recognitions. Moreover, greater understanding of the variability experienced by children, especially children and families from various social and cultural backgrounds, is of paramount importance. Future developments will no doubt expand the use of this remarkable device.

scholarly journals GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets

GigaScience ◽  
2020 ◽  
Vol 9 (11) ◽  
Author(s):  
Miroslav Kratochvíl ◽  
Oliver Hunewald ◽  
Laurent Heirendt ◽  
Vasco Verissimo ◽  
Jiří Vondrášek ◽  
...  
Keyword(s):  
Single Cell ◽  
High Performance ◽  
Current State ◽  
Technological Advances ◽  
Data Points ◽  
Distributed Computing Infrastructures ◽  
High Level ◽  
Complex Phenomena ◽  
Computational Resources ◽  
Performance Programming

Abstract Background The amount of data generated in large clinical and phenotyping studies that use single-cell cytometry is constantly growing. Recent technological advances allow the easy generation of data with hundreds of millions of single-cell data points with >40 parameters, originating from thousands of individual samples. The analysis of that amount of high-dimensional data becomes demanding in both hardware and software of high-performance computational resources. Current software tools often do not scale to the datasets of such size; users are thus forced to downsample the data to bearable sizes, in turn losing accuracy and ability to detect many underlying complex phenomena. Results We present GigaSOM.jl, a fast and scalable implementation of clustering and dimensionality reduction for flow and mass cytometry data. The implementation of GigaSOM.jl in the high-level and high-performance programming language Julia makes it accessible to the scientific community and allows for efficient handling and processing of datasets with billions of data points using distributed computing infrastructures. We describe the design of GigaSOM.jl, measure its performance and horizontal scaling capability, and showcase the functionality on a large dataset from a recent study. Conclusions GigaSOM.jl facilitates the use of commonly available high-performance computing resources to process the largest available datasets within minutes, while producing results of the same quality as the current state-of-art software. Measurements indicate that the performance scales to much larger datasets. The example use on the data from a massive mouse phenotyping effort confirms the applicability of GigaSOM.jl to huge-scale studies.

What Do We Want Them To Be When They Grow Up?

2010 ◽  
Vol 20 (1) ◽  
pp. 27-31
Author(s):  
Lyn Robertson
Keyword(s):  
Hearing Loss ◽  
Social Development ◽  
Young Women ◽  
Hearing Aids ◽  
Test Scores ◽  
Spoken Language ◽  
Language Therapy ◽  
Profound Hearing Loss ◽  
Children With Hearing Loss ◽  
Learning To Listen

Abstract Learning to listen and speak are well-established preludes for reading, writing, and succeeding in mainstream educational settings. Intangibles beyond the ubiquitous test scores that typically serve as markers for progress in children with hearing loss are embedded in descriptions of the educational and social development of four young women. All were diagnosed with severe-to-profound or profound hearing loss as toddlers, and all were fitted with hearing aids and given listening and spoken language therapy. Compiling stories across the life span provides insights into what we can be doing in the lives of young children with hearing loss.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

Framework for Study of Supplier Relationships in Indian Automotive Supply Chains

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Souresh Bhattacharya ◽  
D. Mukhopadhyay ◽  
Sunil Giri
Keyword(s):  
Supply Chains ◽  
Automotive Industry ◽  
Supplier Management ◽  
Supplier Relationships ◽  
Technological Advances ◽  
Management Orientation ◽  
High Level ◽  
Supplier Partnerships ◽  
Automotive Supply ◽  
Supplier Relationship

Indian automotive industry has increasingly adopted global supply chain best practices including supplier relationship as a management imperative, in the last two decades. Increased competition, globalization, wide-spread outsourcing, use of information technology and rapid technological advances have contributed in supplier relationship development with the objective to achieve competitive advantage and a high level of performance. It is evident that only if mutual benefits accrue to both Vehicle Assemblers (VA) and their suppliers, the partnership between them would be meaningful and effective. Also, VAs have necessarily, to invest considerable resources and effort in achieving collaboration with their suppliers and cost-effectiveness becomes an issue which leads to supply base rationalization and a segmented approach. Therefore understanding the issues involved and identifying focus areas for successful supplier relationships becomes an imperative. This paper, based on an exploratory study, delves into the VA-supplier interface in Indian automobile supply chains, examines various theoretical and practical dimensions, in order to identify strategic imperatives (key impact drivers), Supplier Management Orientation (SMO) of VAs, adoption of Supplier Development Practices, extent of VA-supplier partnerships and mutual benefits accruing to both entities. Based on this a framework for holistically studying the VA-supplier interface is proposed.

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