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Factors Affecting Speech Reception in Background Noise with a Vocoder Implementation of the FAST Algorithm
Shaikat Hossain1, Raymond L Goldsworthy2
1Department of Otolaryngology, University of Southern California, Los Angeles, CA, USA. shaikath@usc.edu.
Summary
This study investigated how the Fundamental Asynchronous Stimulus Timing (FAST) algorithm impacts speech understanding in noise. Results show FAST preserves voicing and spatial cues but is less effective with reduced spectral resolution.
Area of Science:
- Auditory Neuroscience
- Signal Processing
- Speech Perception
Background:
- Speech segregation in noise is challenging for individuals with hearing loss.
- Signal processing aids hearing assistive technologies in complex environments.
Purpose of the Study:
- To evaluate the Fundamental Asynchronous Stimulus Timing (FAST) algorithm's effectiveness in speech segregation.
- To examine how spectral resolution and noise type affect speech reception with FAST.
Main Methods:
- Normal-hearing listeners' speech reception thresholds were measured using a FAST vocoder.
- Two reconstruction bandwidths (narrowband, broadband) and five noise types were employed.
- Maskers were presented in co-located and spatially separated conditions.
Main Results:
- The FAST algorithm preserved benefits from voicing and spatial cues.
- Reduced spectral resolution diminished the effectiveness of the FAST algorithm.
- Performance varied across different noise types, indicating differential cue contributions.
Conclusions:
- The FAST algorithm shows promise for enhancing speech perception in noise.
- Maintaining adequate spectral resolution is crucial for optimal FAST algorithm performance.
- Further research can refine FAST for improved hearing assistive technologies.
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