1,721,096 research outputs found
Dataset for Haptic enhancement of speech-in-noise performance in cochlear implant users
No full textDataset giving percentage of words in noise identified with and without vibro-tactile stimulation before and after a short training regime.
Fletcher, Mark ; Hadeedi, Amatullah ; Goehring, Tobias ; Mills, Sean. / Haptic enhancement of speech-in-noise performance in cochlear implant users. In: Scientific Reports. 2019</span
Dataset for Electro-Haptic Enhancement of Spatial Hearing in Cochlear Implant Users
No full textThis dataset supports the publication: Fletcher, Mark, Cunningham, Robyn & Mills, Sean (2020). Electro-Haptic Enhancement of Spatial Hearing in Cochlear Implant Users. Scientific Reports
This dataset contains the overall RMS error (calculated as described in the associated manuscript) for each experimental condition and each participant (top left table). Also presented is the average location response for each loudspeaker location and for each participant in each of the experimental conditions.</span
Dataset for: Sensitivity to haptic sound-localisation cues
No full textThis dataset supports the publication: Fletcher, Mark, Zgheib, Jana & Perry, Samuel (2020). Haptic sound-localisation for use in cochlear implant and hearing-aid users. Scientific Reports.</span
Dataset supporting the publication "Spectral Peak Picking Improves Tactile Speech Perception"
No full textThis dataset contains a CSV file with the participant number, dominant hand (left or right), wrist circumference (mm), screening vibro-tactile detection threshold at 31.5 Hz (ms/2), screening vibro-tactile detection threshold at 125 Hz (ms/2), gender, age, and percentage correct for phoneme discrimination in each condition. The header name for each condition describes whether or not tSPP has been applied and how many peaks were picked. For example, for conditions without tSPP are labelled "No_tSPP" and conditions with 4 peak tSPP are labelled "4P_tSPP". Data is separated by consonants and vowels ("C" or "V") and whether speech is the male or female talker ("F" or "M").</span
Effects of very high-frequency sound and ultrasound on humans part I: adverse symptoms after exposure to audible very-high frequency sound
No full textDataset in support of the paper Fletcher, M et al (2018) Effects of very high-frequency sound and ultrasound on humans part I: adverse symptoms after exposure to audible very-high frequency sound Journal of the Acoustical Society of America
A data structure that is readable in Matlab. The data structure contains the raw data for the study, including response type and response times for the attention task, and the participant ratings for each trial, as well as participant information such as age and gender.</span
Dataset for Sensitivity to haptic sound-localization cues at different body locations
No full textThis dataset supports the publication:
AUTHORS: Mark Fletcher, Jana Zgheib, & Samuel Perry
TITLE: Sensitivity to haptic sound-localization cues at different body locations
JOURNAL: Sensors
This dataset contains a CSV file titled "Fletcher_et_al_2021_Data.csv". For each participant, the file contains tactile detection thresholds in ms2 at each limb for each of the three body locations used in the study as well as the tactile intensity difference (TID) thresholds in dB for body location.
All data was collected at the University of Southampton, U.K.</span
Can haptic stimulation enhance music perception in hearing-impaired listeners?
No full textCochlear implants (CIs) have been remarkably successful at restoring hearing in severely-to-profoundly hearing-impaired individuals. However, users often struggle to deconstruct complex auditory scenes with multiple simultaneous sounds, which can result in reduced music enjoyment and impaired speech understanding in background noise. Hearing aid users often have similar issues, though these are typically less acute. Several recent studies have shown that haptic stimulation can enhance CI listening by giving access to sound features that are poorly transmitted through the electrical CI signal. This “electro-haptic stimulation” improves melody recognition and pitch discrimination, as well as speech-in-noise performance and sound localization. The success of this approach suggests it could also enhance auditory perception in hearing-aid users and other hearing-impaired listeners. This review focuses on the use of haptic stimulation to enhance music perception in hearing-impaired listeners. Music is prevalent throughout everyday life, being critical to media such as film and video games, and often being central to events such as weddings and funerals. It represents the biggest challenge for signal processing, as it is typically an extremely complex acoustic signal, containing multiple simultaneous harmonic and inharmonic sounds. Signal-processing approaches developed for enhancing music perception could therefore have significant utility for other key issues faced by hearing-impaired listeners, such as understanding speech in noisy environments. This review first discusses the limits of music perception in hearing-impaired listeners and the limits of the tactile system. It then discusses the evidence around integration of audio and haptic stimulation in the brain. Next, the features, suitability, and success of current haptic devices for enhancing music perception are reviewed, as well as the signal-processing approaches that could be deployed in future haptic devices. Finally, the cutting-edge technologies that could be exploited for enhancing music perception with haptics are discussed. These include the latest micro motor and driver technology, low-power wireless technology, machine learning, big data, and cloud computing. New approaches for enhancing music perception in hearing-impaired listeners could substantially improve quality of life. Furthermore, effective haptic techniques for providing complex sound information could offer a non-invasive, affordable means for enhancing listening more broadly in hearing-impaired individuals
Public exposure to ultrasound and very-high frequency sound in air
No full textAudio files containing recordings of very high frequency and ultrasound sources. The source type is described at the start of the name (e.g. "PAVA1") and matches the descriptions in the associated publication. Each source recording also has an associated calibration tone recording (labelled "_Cal"), which was made immediately before the source recording. The calibration factors of the 4191 microphone used to make the recordings is also included as files, which are readable in Matlab ("MicCorr_4191.mat" and "MicCorr_freqs.mat").
Dataset in support of the paper Fletcher, M et al (2018) Public exposure to ultrasound and very-high frequency sound in air Journal of the Acoustical Society of America</span
Using haptic stimulation to enhance auditory perception in hearing-impaired listeners
No full textIntroduction: hearing-assistive devices, such as hearing aids and cochlear implants, transform the lives of hearing-impaired people. However, users often struggle to locate and segregate sounds. This leads to impaired threat detection and an inability to understand speech in noisy environments. Recently, evidence has emerged that segregation and localisation can be improved by providing missing sound-information through haptic stimulation.Areas covered: this article reviews the evidence that haptic stimulation can effectively provide missing sound-information. It then discusses the research and development required for this approach to be implemented in a clinically-viable device. This includes discussion of what sound information should be provided and how that information can be extracted and delivered.Expert opinion: although this research area has only recently emerged, it builds on a significant body of work showing that sound information can be effectively transferred through haptic stimulation. Current evidence suggests that haptic stimulation is highly effective at providing missing sound-information to cochlear implant users. However, a great deal of work remains to implement this approach in an effective wearable device. If successful, such a device could offer an inexpensive, non-invasive means of improving educational, work, and social experiences for hearing-impaired individuals, including those without access to hearing-assistive devices
Listen with your wrists
No full textMost of us have five senses that our brains use to create a model of the world around us. We see, hear, smell, taste, and touch our way around. If one of your senses is not working properly, your brain fills in the gaps by paying more attention to the other senses. However, your other senses cannot always fill in the gaps. If your ears are not working, your eyes alone may not be able to tell your brain that an out-of-control car is screeching toward you! But what if we could help the brain fill in the gaps by purposefully sending the missing information through another sense? What if you could “hear” where a sound is through your sense of touch? This article will explain how people were able to do just that, using wristbands that converted sound into vibration
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