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Transcription01:10

Transcription

Overview
Transcription is the process of synthesizing RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in the proper synthesis of messenger RNA (mRNA). Regulation of transcription is responsible for the differentiation of all the different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds...
Transcription01:17

Transcription

Transcription is the synthesis of RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in correctly synthesizing messenger RNA (mRNA). Transcriptional regulation is responsible for the differentiation of different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds of RNA Molecules
In eukaryotes,...
Auditory Perception01:17

Auditory Perception

The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the cochlea, a...

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Digits-In-Noise Hearing Test Using Text-to-Speech and Automatic Speech Recognition: Proof-of-Concept Study.

Mohsen Fatehifar1, Kevin J Munro1,2, Michael A Stone1

  • 1Manchester Centre for Audiology and Deafness (ManCAD), University of Manchester, Manchester, UK.

Trends in Hearing
|October 1, 2025
PubMed
Summary
This summary is machine-generated.

An AI-powered digits-in-noise test using text-to-speech and automatic speech recognition shows promise. This new method is a viable alternative to traditional tests, offering similar validity and improved reliability with advanced speech recognition models.

Keywords:
automated testautomatic speech recognitiondigits-in-noise testspeech-in-noise testtext-to-speech

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Area of Science:

  • Audiology
  • Speech Technology
  • Artificial Intelligence

Background:

  • Traditional digits-in-noise tests are crucial for assessing speech recognition in noisy environments.
  • Evaluating new technologies like text-to-speech (TTS) and automatic speech recognition (ASR) for auditory assessments is essential.

Purpose of the Study:

  • To evaluate the implementation and performance of an AI-powered digits-in-noise test.
  • To compare the validity and reliability of this AI-powered test against traditional keyboard-based and independent tests.

Main Methods:

  • Developed an AI-powered digits-in-noise test utilizing TTS and ASR.
  • Recruited 31 participants (10 with hearing loss, 21 normal-hearing).
  • Assessed validity by comparing AI-test results with an independent test and baseline, and reliability by comparing test-retest similarity.

Main Results:

  • The AI-powered test demonstrated comparable validity to the keyboard-based test, with similar agreement levels (-1.3 ± 4.9 dB vs. -0.2 ± 4.4 dB).
  • Initial reliability was poorer (-1.0 ± 5.7 dB) but improved significantly (-0.9 ± 3.8 dB) after outlier removal, especially with low-error ASR (Whisper model).
  • Agreement between the AI-powered test and the independent test was -1.3 ± 4.9 dB.

Conclusions:

  • An AI-powered digits-in-noise test using synthetic stimuli and ASR is a viable alternative to traditional methods.
  • The integration of TTS and ASR does not negatively impact test validity.
  • With optimized ASR, the AI-powered test achieves reliability comparable to independent tests, suggesting real-world applicability.