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Speech recognition in natural background noise.

Julien Meyer1, Laure Dentel, Fanny Meunier

  • 1Linguistics Division, Museu Paraense Emilio Goeldi (MPEG), Belém, Brazil.

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Summary
This summary is machine-generated.

Human speech recognition in noise is challenging, especially with distance. This study found vowels remain clear, while consonants are key for word identification, with specific acoustic cues aiding recognition.

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Area of Science:

  • Auditory perception
  • Speech processing
  • Acoustic phonetics

Background:

  • Real-world speech recognition occurs amidst background noise.
  • Listener-to-speaker distance amplifies noise impact on speech intelligibility.
  • Ecologically valid conditions are crucial for understanding speech perception.

Purpose of the Study:

  • To investigate speech intelligibility loss in natural background noise.
  • To analyze the effects of listener-to-speaker distance on speech perception.
  • To identify key acoustic cues for phoneme recognition under noisy conditions.

Main Methods:

  • Behavioral experiment using French monosyllabic word lists.
  • Varying listener-to-speaker distances (11-33 meters) to alter signal-to-noise ratio (SNR).
  • Analysis of intelligibility, confusion patterns, and acoustic cues.

Main Results:

  • Vowel identity was preserved with no vowel confusion observed.
  • Consonants played a critical role in lexical identification.
  • Sonorant, sibilant, and burst properties significantly influenced phoneme recognition.

Conclusions:

  • Listeners can identify words despite distance and noise, relying heavily on consonants.
  • A consonant resistance scale was developed based on recognition scores.
  • Acoustic cues in consonant-vowel transitions may aid speech perception.