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Development and testing of artificial low-frequency speech codes.

C M Reed1, M H Power, N I Durlach

  • 1Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge 02139.

Journal of Rehabilitation Research and Development
|January 1, 1991
PubMed
Summary
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This study developed artificial speech codes for consonants and vowels, demonstrating superior identification accuracy compared to low-pass filtered natural speech, especially at higher cutoff frequencies.

Area of Science:

  • Acoustic Phonetics
  • Speech Perception
  • Signal Processing

Background:

  • Speech frequency lowering is crucial for hearing aid technology.
  • Traditional methods involve low-pass filtering natural speech.
  • Limitations exist in low-pass filtered speech intelligibility.

Purpose of the Study:

  • To develop and evaluate novel artificial codes for speech sounds.
  • To compare the intelligibility of artificial codes versus filtered natural speech.
  • To assess the impact of cutoff frequency and context on phoneme identification.

Main Methods:

  • Artificial acoustic signals were created for 24 consonants and 15 vowels.
  • Signals were designed with unique, nonvarying characteristics below cutoff frequencies (300 and 500 Hz).

Related Experiment Videos

  • Normal-hearing listeners identified coded and low-pass filtered phonemes in fixed and random contexts.

    • Main Results:

    • Artificial codes at 500 Hz cutoff yielded 90% consonant and 85% vowel identification accuracy.
    • These scores significantly surpassed those for low-pass filtered speech (75% consonants, 85% vowels).
    • Performance decreased with lower cutoff frequencies and in random-context CV syllables.

    Conclusions:

    • Artificial speech codes offer enhanced intelligibility over traditional low-pass filtering.
    • Higher cutoff frequencies (500 Hz) significantly improve artificial code perception.
    • This approach holds promise for improving speech processing in hearing devices.