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Development of a Phrase-Based Speech-Recognition Test Using Synthetic Speech.

Saskia Ibelings1,2,3, Thomas Brand2,3, Esther Ruigendijk3,4

  • 1Institute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany.

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Summary

A novel speech-recognition test was developed using synthesized phrases to reduce training effects and expand speech material. This test offers comparable performance to existing sentence tests, showing potential for audiology research and clinical use.

Keywords:
audiologyphrase test‌speech intelligibilityspeech recognitionspeech testsynthetic speechtext-to-speech

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Area of Science:

  • Audiology
  • Speech Perception Research

Background:

  • Speech-recognition tests are crucial in audiology for clinical and research applications.
  • Existing tests often suffer from training effects and limited speech material.

Purpose of the Study:

  • To develop a novel speech-recognition test minimizing training effects.
  • To create a test with a large, modular speech material set.

Main Methods:

  • Constructed 772 unique phrases using frequent nouns, adjectives, and infinitives from databases.
  • Synthesized phrases using a text-to-speech system for efficiency.
  • Evaluated test with 31 normal-hearing participants at fixed signal-to-noise ratios (SNR).

Main Results:

  • Achieved a median speech-recognition threshold (SRT) of -9.1 dB SNR, comparable to existing sentence tests.
  • Observed speech-recognition scores varying up to 4 dB across phrases.
  • Demonstrated a psychometric function slope of 15 percentage points per dB, suitable for audiology.

Conclusions:

  • The developed modular speech material system effectively reduces training effects.
  • The novel test is efficient and comparable to current audiology standards.
  • The modular approach offers broad potential applications in speech research.