Objectives: The long-term goal is to investigate the feasibility of using real speech as a stimulus for electroacoustic evaluation of nonlinear hearing aids. The goals of the present study were to determine the spectral envelope of speech from acoustic measures of phoneme tokens in running speech, to compare the results with published data on long-term average speech spectra, to measure inter-talker differences of spectral envelope, and to explore the extent to which the intensity variation within and across talkers might be minimized by frequency-selective amplification and automatic gain control.
Design: Seven phonemes were selected to represent the extremes of frequency and intensity in English. Recordings were made of five men and five women producing syllable strings constructed from these phonemes. One-third octave spectra were prepared from the phoneme tokens. The frequencies and intensities of 13 key points in these spectra were measured and used to estimate individual and group spectral envelopes.
Results: The group spectral envelope was similar to that derived from published data on the long-term average spectrum of speech, but there were marked intertalker differences. Some of the differences were gender-related. The overall dynamic range of intensity in these data was 53 dB. Frequency-dependent level adjustment (an 11 dB high-frequency boost) reduced this range to 42 dB, and a combination of frequency-dependent and subject-dependent level adjustment (analogous to 2-band automatic gain control) reduced it to 37 dB.
Conclusion: A phonemic approach to determining the spectral envelope of speech offers insights that are not available from long-term average spectra and could offer advantages in the evaluation of nonlinear hearing aids.
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Entropy (Basel)
November 2024
Faculty of Information Engineering, Quzhou College of Technology, Quzhou 324000, China.
Rolling bearings, as critical components of rotating machinery, significantly influence equipment reliability and operational efficiency. Accurate fault diagnosis is therefore crucial for maintaining industrial production safety and continuity. This paper presents a new fault diagnosis method based on FCEEMD multi-complexity low-dimensional features and directed acyclic graph LSTSVM.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Interdisciplinary Courses in Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Two two-element slotted patch multiple-input multiple-output (MIMO) antenna with coplanar waveguide (CPW) feed is proposed for deployment in implantable medical devices. Implantable devices are compact and demand high-gain antennae with unidirectional radiation patterns. Regarding compactness, the antenna has a size of 16 × 6×0.
View Article and Find Full Text PDFSci Rep
November 2024
School of Electrical and Electronic Information, Xihua University, Chengdu, 610039, Sichuan, China.
Analysis of heart sound signals plays an essential role in preventing and diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm based on frequency-balanced power spectral intensity for heart sound signal classification. Firstly, a wavelet threshold function is employed to denoise the heart sound signals.
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November 2024
Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Calle Pintor Fernando Gallego 1, 37007, Salamanca, Spain.
Understanding speech in noisy settings is harder for hearing-impaired (HI) people than for normal-hearing (NH) people, even when speech is audible. This is often attributed to hearing loss altering the neural encoding of temporal and/or spectral speech cues. Here, we investigated whether this difference may also be due to an impaired ability to adapt to background noise.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
November 2024
Anthony O. Caggiano, MD, PhD, Cognition Therapeutics, Inc., 2500 Westchester Avenue, Purchase, NY 10577,
Background: CT1812 is a first-in-class, sigma-2 receptor ligand, that prevents and displaces binding of amyloid beta (Aβ) oligomers. Normalization of quantitative electroencephalography (qEEG) markers suggests that CT1812 protects synapses from Aβ oligomer toxicity.
Objectives: Evaluate CT1812 impact on synaptic function using qEEG measurements.
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