Glossary Term
Speech segmentation
Speech segmentation models and their importance
- Whole-word access model
- Decomposition model
- Combined whole-word and decomposition model
- Limited experimental evidence for discriminating between models
- Contextual clues and probabilistic nature of lexical recognition
- Decompositional analysis necessary for other processes
- Contextual clues provided by lexical recognition
- Example of probabilistic word completion
- Different meanings depending on word segmentation
- Potential for advanced pattern recognition and AI technologies
Applications of lexical recognition
- Enhancing computer speech recognition
- Building and searching a network of semantically connected ideas
- Statistical models for speech segmentation and alignment
- Applications in animation, video sub-titling, and linguistic research
- Availability of commercial segmentation and alignment software
Phonotactic cues in speech segmentation
- Difficulty in identifying boundaries between lexical units
- Lack of pauses in normal speech
- Coarticulation and its effect on vowel and consonant production
- Language-specific changes in casual speech
- Phonotactics as a guide for word boundary placement
Phonotactic cues in different languages
- English phonotactics inhibiting certain interpretations
- Examples of phonotactic cues in English words
- Vowel harmony in Finnish providing cues
- Coexistence of vowel harmony and morphemes in compounds
- Importance of phonotactic cues in distinguishing word boundaries
Speech segmentation in infants and non-natives
- Infants rely on phonotactic and rhythmic cues, with prosody being the dominant cue, for speech segmentation.
- Between 6 and 9 months, infants become sensitive to the sound structure of their native language.
- English-native infants approach stressed syllables as the beginning of words.
- Infants can segment bisyllabic words with strong-weak stress patterns, but weak-strong stress patterns are often misinterpreted.
- Infants show complexity in tracking frequency and probability of words.
Note: The related concepts, challenges for language learners, and further research needed sections do not have identical concepts to be combined.