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Related Concept Videos

Language01:16

Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Toxidromes: Clinical Features

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Toxidromes are specific patterns of symptoms resulting from toxic substance exposure. They help in the identification and treatment of poisoning. The symptoms of each toxidrome group indicate poisoning by a certain class of chemicals or drugs.1. Sympathomimetic: Stimulates the sympathetic nervous system. Symptoms include agitation, increased heart rate (HR), blood pressure (BP), respiratory rate (RR), temperature, and pupil size. Drugs like cocaine and amphetamines, along with tremors and...
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Phonological feature-based speech recognition system for pronunciation training in non-native language learning.

Vipul Arora1, Aditi Lahiri1, Henning Reetz2

  • 1Faculty of Linguistics, Philology and Phonetics, University of Oxford, Oxford, United Kingdom.

The Journal of the Acoustical Society of America
|February 3, 2018
PubMed
Summary

Phonological features enhance automatic speech recognition (ASR) for L2 pronunciation training. This system accurately detects and diagnoses learner errors, improving feedback for better acoustic and perceptual outcomes.

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Area of Science:

  • Applied Linguistics
  • Speech Technology
  • Second Language Acquisition

Background:

  • Computer-aided pronunciation training (CAPT) relies on detecting mispronunciations and providing feedback.
  • Current CAPT systems often analyze at word or phoneme levels.
  • Phonemes can be further broken down into phonological features, offering a more granular analysis.

Purpose of the Study:

  • To investigate the effectiveness of phonological features in automatic speech recognition (ASR) for non-native language (L2) pronunciation training.
  • To develop and evaluate an ASR system utilizing phonological features for sub-phonemic analysis.
  • To enhance the accuracy and detail of mispronunciation detection and corrective feedback.

Main Methods:

  • Implementation of an ASR system using deep neural networks as the acoustic model.
  • Utilizing phonological features for sub-phonemic analysis within the ASR system.
  • Quantitative and qualitative evaluations with German and Italian learners of English.

Main Results:

  • The phonological feature-based ASR system achieved high accuracy in detecting mispronunciations.
  • The system demonstrated the ability to provide accurate diagnoses of learner errors.
  • Sub-phonemic analysis at the feature level improved feedback effectiveness for acoustic and perceptual goals.

Conclusions:

  • Phonological features are effective for detailed analysis in L2 pronunciation training ASR systems.
  • The developed system offers a structured approach to identifying specific pronunciation errors.
  • This method provides more targeted and effective corrective feedback for language learners.