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Updated: Aug 12, 2026
11:39
Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique
Published on: September 7, 2022
[The language healing system of deaf children based on wavelet transform]
1Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049.
Summary
The wavelet transform method enhances speech signal analysis for deaf children, improving language healing by making speech characteristics clearer and easier to understand.
Area of Science:
- Signal processing
- Speech acoustics
- Pediatric audiology
Context:
- Deaf children face challenges in language acquisition due to difficulties in perceiving speech.
- Traditional speech therapy methods may not fully address the complexities of speech signal processing for hearing-impaired individuals.
Purpose:
- To apply the wavelet transform method for analyzing time-varying speech signals in deaf children.
- To enhance the resolution and clarity of speech spectrum information for improved understanding.
Summary:
- The wavelet transform method was utilized to analyze the time-varying characteristics of speech signals.
- This technique improved speech spectrum resolution, making speech characteristics more apparent.
- The enhanced speech spectrum information is designed for easier observation and comprehension by deaf children.
Impact:
- Provides a more accessible and understandable representation of speech for deaf children.
- Offers a valuable tool to support and improve language healing interventions for pediatric hearing loss.
- Contributes to advancements in assistive technologies for deaf education and communication development.
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