i-Angel Sound
Proven effective in research studies
App Summary
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Detailed Description
Functionality & Mechanism
Developed by TigerSpeech Technology Inc., i-Angel Sound delivers an interactive, self-paced auditory training program for independent home use. The system presents modules containing thousands of environmental, lexical, and monosyllabic sounds for discrimination and identification practice. An adaptive difficulty mechanism adjusts to the user's skill level, and the interface provides immediate audio-visual feedback on performance. The core design leverages phonetic contrast training protocols to reinforce the user's ability to distinguish between phonemes, the foundational components of spoken language.
Evidence & Research Context
- The app's methodology is supported by research where post-lingually deafened adult cochlear implant (CI) users (N=10) completed a similar home-based training protocol, resulting in significant improvements in speech understanding in noise.
- In that study, training benefits with simple, closed-set stimuli (digits) generalized to improved performance on more complex, open-set sentence recognition tasks.
- Performance gains from the training were largely retained at a one-month follow-up assessment, indicating durable learning.
- Foundational research with normal-hearing listeners (N=16) established that targeted phoneme contrast training accelerates adaptation to spectrally shifted speech, a primary challenge for new CI users.
Intended Use & Scope
The system is designed as an adjunct auditory rehabilitation tool for individuals with hearing impairment, including cochlear implant users, to complement clinic-based therapy. Its primary utility is providing structured, independent listening practice. This program does not provide diagnostic services or replace professional guidance from an audiologist or speech-language pathologist.
Studies & Publications
Peer-reviewed research associated with this app.
Digit training in noise can improve cochlear implant users' speech understanding in noise
Oba et al. (2011) · Ear and Hearing
Home-based digit training improved cochlear implant users' speech understanding in noisy environments.
Auditory training with spectrally shifted speech: an implication for cochlear implant users' auditory rehabilitation
Shannon et al. (2008) · Journal of the Association for Research in Otolaryngology
Targeted training significantly improved recognition of altered speech sounds in listeners adapting to cochlear implant simulation.
App Information
Category
Evidence Profile
Proven effective in research studies
Platforms
Updated
Jan 2019
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