Objectives: Our aim was to assess, for patients with a cochlear implant in one ear and low-frequency acoustic hearing in the contralateral ear, whether reducing the overlap in frequencies conveyed in the acoustic signal and those analyzed by the cochlear implant speech processor would improve speech recognition.
Design: The recognition of monosyllabic words in quiet and sentences in noise was evaluated in three listening configurations: electric stimulation alone, acoustic stimulation alone, and combined electric and acoustic stimulation. The acoustic stimuli were either unfiltered or low-pass (LP) filtered at 250, 500, or 750 Hz. The electric stimuli were either unfiltered or high-pass (HP) filtered at 250, 500, or 750 Hz. In the combined condition, the unfiltered acoustic signal was paired with the unfiltered electric signal, the 250-Hz LP acoustic signal was paired with the 250-Hz HP electric signal, the 500-Hz LP acoustic signal was paired with the 500-Hz HP electric signal, and the 750-Hz LP acoustic signal was paired with the 750-Hz HP electric signal.
Results: For both acoustic and electric signals, performance increased as the bandwidth increased. The highest level of performance in the combined condition was observed in the unfiltered acoustic plus unfiltered electric condition.
Conclusions: Reducing the overlap in frequency representation between acoustic and electric stimulation does not increase speech understanding scores for patients who have residual hearing in the ear contralateral to the implant. We find that acoustic information <250 Hz significantly improves performance for patients who combine electric and acoustic stimulation and accounts for the majority of the speech-perception benefit when acoustic stimulation is combined with electric stimulation.
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http://dx.doi.org/10.1097/AUD.0b013e3181c4758d | DOI Listing |
Hear Res
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Institute of Sound and Vibration Research, University of Southampton, Southampton, United Kingdom.
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Graduate School of Medicine, Juntendo University, Tokyo, Japan.
The anatomical innovation of sound-producing organs, which gives rise to a wide variety of sound signals, is one of the most fundamental factors leading to the explosive speciation of modern birds. Despite being a key clue to resolving the homology of sound-controlling muscles among birds, only few studies have explored the embryonic development of syringeal muscles. Using serial histological sections and immunohistochemistry, we described the three-dimensional anatomy and development of the cartilage, muscle, and innervation pattern of the tracheobronchi in three avian species: domestic fowls, cockatiels, and zebra finches.
View Article and Find Full Text PDFJ Acoust Soc Am
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Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Ministry of Education, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China.
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional generative adversarial networks guided by an acoustic feature vector (AF-DCGANs) to synthesize narrowband clicks of the finless porpoise (Neophocaena phocaenoides sunameri) and broadband clicks of the bottlenose dolphins (Tursiops truncatus). The average short-time objective intelligibility (STOI), spectral correlation coefficient (Spe-CORR), waveform correlation coefficient (Wave-CORR), and dynamic time warping distance (DTW-Distance) of the synthetic clicks were 0.
View Article and Find Full Text PDFMicrosyst Nanoeng
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Institute of Novel Semiconductors, State Key Laboratory of Crystal Materials, Shandong University, 27 South Shanda Road, Shandong, 250100, P. R. China.
Acoustic frequency combs (AFCs) contain equidistant coherent signals with unconventional possibilities on metrology. Previously, implementation of AFCs on mechanical microresonators with large air damping loss is difficult, which restricted their atmospheric applications. In this work, we explore the potentials of a composite diamond/silicon microcantilever for parametric generation of AFCs in ambient air.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Electrical and Computer Engineering Department, New York University, 370 Jay Street, Brooklyn, New York, New York, 10012-1126, UNITED STATES.
This study investigates speech decoding from neural signals captured by intracranial electrodes. Most prior works can only work with electrodes on a 2D grid (i.e.
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