Structure in talker variability: How much is there and how much can it help?

Area of Science:

• Phonetics and human speech perception
• Computational linguistics and auditory processing

Background:

• Human speech perception faces challenges due to talker variability.
• Listeners leverage structured patterns in talker variation, linking linguistic features to socio-indexical variables like gender, dialect, and age.

Purpose of the Study:

• To introduce novel ideal observer models for quantifying talker variability.
• To assess the informativity (structure) and utility (usefulness for recognition) of talker grouping variables.

Main Methods:

• Development of ideal observer models to quantify structure in talker variation.
• Application of these models to phonetic domains: word-initial stop voicing and vowel identity.

Main Results:

• Quantification of the amount and type of structure in talker variability across phonetic domains.
• Demonstration that different phonetic domains exhibit distinct patterns of talker variability.
• Validation of the informativity and utility of talker grouping variables for speech recognition.

Conclusions:

• The developed techniques provide a quantitative framework for analyzing talker variability in speech.
• Phonetic domains differ in their structure and utility for robust speech recognition.
• An accompanying R package (phondisttools) facilitates further research.