scholarly journals Thalamic, cortical, and amygdala involvement in the processing of a natural sound cue of danger

PLoS Biology ◽  
2020 ◽  
Vol 18 (5) ◽  
pp. e3000674 ◽  
Author(s):  
Ana G. Pereira ◽  
Matheus Farias ◽  
Marta A. Moita
Keyword(s):  
Natural Sound

scholarly journals Natural sound estimation in shallow water near shipping lanes

2020 ◽  
Vol 147 (2) ◽  
pp. EL177-EL183
Author(s):  
Mirko Mustonen ◽  
Aleksander Klauson ◽  
Thomas Folégot ◽  
Dominique Clorennec
Keyword(s):  
Shallow Water ◽  
Natural Sound

scholarly journals The typologically rare approximant inventory of Kajkwakhrattxi: A series of natural sound changes

2021 ◽  
Vol 6 (1) ◽  
pp. 855
Author(s):  
Teela Huff ◽  
Myriam Lapierre
Keyword(s):  
Endangered Languages ◽  
Natural Languages ◽  
Data Set ◽  
Mato Grosso ◽  
The Family ◽  
Natural Sound ◽  
Sound Changes

Kajkwakhrattxi, a Northern Jê language spoken by fewer than 30 elders in Mato Grosso, Brazil, exhibits a typologically rare sound inventory, especially with respect to its series of approximants: /w, w̃, ʍ, ɽ, ɽ̃, j/, realized as a total of 17 different surface allophones: [w, w̃͡w, w̃, ʍ, ɥ, ɥ̃͡ɥ, ɥ̃, ɥ̊, ɾ, ɾ̃, ɽ, ɽ̃, ɻ, ɻ̃, ɻ̊, j, j̃]. We propose a novel reconstruction of Proto-Northern-Jê that accounts for this unusually dense inventory of approximants, namely as the result of a series of natural sound changes involving processes of lenition and assimilation. Our analysis makes use of novel fieldwork data on three underdocumented and endangered languages of the family: Kajkwakhrattxi, Panãra, and Kayapô. As a result, our reconstruction is based on a more phonetically detailed and internally coherent data set than was available to previous comparative work on Jê languages. Our results provide evidence for the possible breadth of diversity in the phonological systems of natural languages, both synchronically and diachronically, and advances our knowledge of the sound changes that occurred from Proto-Northern-Jê to its daughter languages.

scholarly journals Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

2018 ◽  
Vol 8 (7) ◽  
pp. 1178 ◽  
Author(s):  
Sen Kuo ◽  
Yi-Rou Chen ◽  
Cheng-Yuan Chang ◽  
Chien-Wen Lai
Keyword(s):  
Noise Reduction ◽  
Real Time ◽  
Random Noise ◽  
Active Noise Control ◽  
Noise Cancellation ◽  
Experimental Results ◽  
Path Model ◽  
Light Weight ◽  
Active Noise ◽  
Natural Sound

This paper presents the development of active noise control (ANC) for light-weight earphones, and proposes using music or natural sound to estimate the critical secondary path model instead of extra random noise. Three types of light-weight ANC earphones including in-ear, earbud, and clip phones are developed. Real-time experiments are conducted to evaluate their performance using the built-in microphone inside KEMAR’s ear and to compare with commercially-available ANC headphones and earphones. Experimental results show that the developed light-weight ANC earphones achieve higher noise reduction than the commercial ANC headphones and earphones, and the in-ear ANC earphone has the best noise reduction performance.

A Green Soundscape Index (GSI): The potential of assessing the perceived balance between natural sound and traffic noise

2018 ◽  
Vol 642 ◽  
pp. 463-472 ◽  
Author(s):  
Pablo Kogan ◽  
Jorge P. Arenas ◽  
Fernando Bermejo ◽  
María Hinalaf ◽  
Bruno Turra
Keyword(s):  
Traffic Noise ◽  
Natural Sound

How Games Improve Language in People With Language Dysfunctions

2020 ◽  
pp. 1489-1505
Author(s):  
Robert Wahlstedt
Keyword(s):  
Natural Language ◽  
Hard Of Hearing ◽  
Learning Algorithm ◽  
Speech Pathology ◽  
Biological Processes ◽  
Biologically Inspired ◽  
Computer Learning ◽  
Facial Muscles ◽  
Natural Sound ◽  
Existing Data

Many people as they age face a greater challenge of muscular dexterity around their facial muscles. This results in difficulty producing certain sounds, and sometimes the problem is so severe that they are unintelligible. People who could benefit from the methods in this chapter are those who are hard of hearing and do not have feedback readily accessible and people with ALS. This chapter describes a method that uses a computer learning algorithm that predicts what people are about to say based on earlier content and learns what the natural sound of their voice sounds like. This chapter illustrates speech trajectory and voice shaping. Clear Audio is a biologically inspired framework for studying natural language. Like the story behind Jurassic Park, Clear Audio attempts to make predictions about data from existing data, inspired by biological processes. Its main goal is to give feedback for speech pathology purposes.

Learning the higher-order structure of a natural sound

1996 ◽  
Vol 7 (2) ◽  
pp. 261-266 ◽  
Author(s):  
Anthony Bell ◽  
Terrence Sejnowski
Keyword(s):  
Higher Order ◽  
Order Structure ◽  
Natural Sound

Robust Multi-Features Segmentation and Indexing for Natural Sound Environments

2007 ◽  
Author(s):  
Gordon Wichern ◽  
Harvey Thornburg ◽  
Brandon Mechtley ◽  
Alex Fink ◽  
Kai Tu ◽  
...  
Keyword(s):  
Natural Sound
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