A framework for labeling speech with acoustic cues to linguistic distinctive features

Area of Science:

• Speech processing
• Phonetics
• Linguistics

Background:

• Acoustic cues in speech signals convey lexical, prosodic, and speaker identity information.
• Extracting acoustic cues related to linguistic features aids in inferring phoneme sequences.
• Analyzing variations in speech realization requires standardized methods.

Purpose of the Study:

• To present a framework for labeling acoustic cues in speech.
• To introduce algorithms for predicting canonical acoustic cues.
• To establish a standard for analyzing speech variations.

Main Methods:

• Development of a framework for acoustic cue labeling in speech.
• Implementation of canonical cue prediction algorithms.
• Annotation of speech data for acoustic cue analysis.

Main Results:

• The developed framework facilitates manual labeling of acoustic cues.
• Canonical cue prediction algorithms provide a standard for analysis.
• Annotated speech data enables detailed examination of cue modification patterns.

Conclusions:

• Labeling acoustic cues in speech is feasible with the proposed framework.
• The framework and algorithms support detailed analysis of speech variations.
• This approach opens new possibilities for studying speech production and perception.