33 skills found · Page 1 of 2
kavishdevar / LibrepodsAirPods liberated from Apple's ecosystem.
claritychallenge / ClarityClarity Challenge toolkit - software for building Clarity Challenge systems
m-r-s / Hearingaid PrototypeInstructions for building an almost consumer hardware based prototype of a hearing aid
inevolin / DiscordEarsBotA speech-to-text framework and bot for Discord. Take control of your Discord server using speech and voice commands. Can also be useful for hearing impaired and deaf people.
Bose / Efficient Neural Speech EnhancementAudio samples for the paper "TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids"
claritychallenge / Clarity CCSupport for Clarity Enhancement and Prediction Challenges (obsolete - see README)
lixilinx / FilterbanksBestPracticesTips for best practices with filterbanks
thivyan-studios / Hark AppThe Android hearing aid streaming app
JediLin / Hearing Aids Fitting Software Update CheckersA collection of scripts which check hearing aids fitting software directly from their own update servers.
fotisdr / DNN HADNN-based hearing aid for real-time sound processing
BoysTownOrg / Chaprochapro is a library of modular functions that implement signal processing intended for hearing aids.
SIP-Lab / Integrated Hearing Aid AppA smartphone applications with Convolutional Neural Network Voice Activity Detector, Adaptive Noise Reduction and Dynamic Audio Range Compression
sunits / EnvironmentalSoundClassificationHere, an algorithm to classify environmental sounds with the aim of providing contextual information to devices such as hearing aids for optimum performance is proposed. We use signal sub-band energy to construct signal-dependent dictionary and matching pursuit algorithms to obtain a sparse representation of a signal. The coefficients of the sparse vector are used as weights to compute weighted features. These features, along with mel frequency cepstral coefficients (MFCC), are used as feature vectors for classification. Experimental results show that the proposed method gives an accuracy as high as 95.6 %, while classifying 14 categories of environmental sound using a Gaussian mixture model (GMM). For more details, please refer to [1].
ausilianapoli / Frequency Lowering TechniquesThe build of frequency lowering techniques used in hearing aid
zSeriesGuy / SpeakReaderStreaming Speech-to-Text Web Server. Share transcript to many in realtime.
AMLAB-Wakayama / WHISWakayama-University Hearing impairment Simulator
ooshyun / ClarityChallenge2023Speech Enhancement for Hearing Aid
vii33 / TheWriterPython UI application that transcribes speech output from your soundcard. Helpful for hearing impaired people or to create the minutes of meeting. Can be used for dictations, too.
enricguso / Guso Waspaa23Hearing Aids speech enhancement
AMLAB-Wakayama / GESIGammachirp Envelope Similarity Index (GESI) for predicting speech intelligibility of hearing-impaired persons
