Speech Perception 8.2 PDF
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This document is a lecture review focused on speech perception, including discussions of language-specific phonology, categorical perception, visual word recognition, and the motor theory of speech perception. It covers the processing of auditory and visual information related to language. The review provides details about various experiments and analysis.
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Speech Perception 8.2: Review on entire lecture in 9.1-10 minutes in Formation of sound category in our mind: - - - - - - - - - Formation of categories driven by language-specific phonology: - - Fixation patterns both Japanese and English speakers: - Categorical...
Speech Perception 8.2: Review on entire lecture in 9.1-10 minutes in Formation of sound category in our mind: - - - - - - - - - Formation of categories driven by language-specific phonology: - - Fixation patterns both Japanese and English speakers: - Categorical perception: - - - - Typical way of designing a categorical perception experiment - - - - - - - - - Are listeners able to perceive the subtle differences within the category at all? YES - - Conditions: 1. 2. - - Silent-center syllables - - ![](media/image11.png) Forming a prototype of speech sounds: Speech normalization across tokens (exemplars) produced by different speakers to create a prototype. - Audio-visual Integration: - - **McGurk Effect**: Mouth movements: link between speech production and perception- the motor theory of speech perception - - Lip movements of \[ga\] (velar) is similar to that of \[da\] \[Ba\] is a voiced bilabial (lips closed) Sound of \[ba\] and movements of \[ga\]\--\> illusory \[da\] **McGurk** effect\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ mismatch auditory and visual cues and evidence for motor theory because **gestures are perceived as well as sound** **Motor theory** of speech perception: evidence from fMRI - - - - - - - - Written Form (orthography): another audio-visual integration example - - - - - - - - **Orthographic** effect on speech perception- how our knowledge about spelling can affect our speech perception - - - - - - - - 2 conditions - - - - - Another implication Phoneme Awareness: aware of phonemes, you know that bet is comprised of 3 different phonemes → closely tied to literacy training - - - - From perception to word recognition: going from low-level processing (sensory input) to retrieval of meanings (lexical access)![](media/image2.png) - - - - - Low-level processing: can use non-words, single syllable, one sound - Possible paradigms for low-level processing: These are all **pre lexical**!! - - - - Word recognition paradigms: - - - - Factors that influence judgment or accuracy of word recognition: - - - Gating task (spoken word recognition): - - - - Results of Gating Task: - - - - - - - - Implications: - - - Cohort model of spoken word recognition: a collection of possible words to be activated/selected - - From spoken to visual word recognition - - - Visual Word Recognition: - - - - - - - - - **Processing routes in visual word recognition:** 1. a. 2. b. 3. **Processing routes are language specific!**!!!!!!!! - - - - - - - - - - - 9.2 Cross-Language Visual Word Recognition: Effect of orthographic depth in **cross-language visual word recognition** (6 possible scenarios!!): **Shallow (1-1) VS Deep Orthography (1-many)** - - - - - - - - Across Writing Systems (Interference-Complex): - - - - Spellings VS Pronounciation: - - Experimental paradigm used in visual word recognition research: - **Masked priming**: Put prime masked by \#\#\#\# or sandwich the prime **50ms**- short enough that most people are not aware of the existence of prime=**subconscious processing of the prime!** - - Form (orthographic, very similar to target but not the same- ROSS) prime→Homophone (Phonological, pronunciation of prime is similar-ROWS) prime→Baseline (for making comparison, baseline-ROSE) - - - - How does masked priming tell us about the time course of visual recognition? - - - - - Testing form vs sound activation: **NATIVE ENGLISH SPEAKERS:** - - - - - - **Chinese character recognitio**n: - - - - - - - - - - **Semantic Categorization:** See a name of category and then a word, decide if the word belongs to category or not quickly - - - - - - - Huge difference in false positive rates !! (14-15%) **Alphabetic readers rely more on phonology in lexical access (meaning of words)** The role of phonology in visual word recognition: - - - - - - ![](media/image3.png) Model of visual word recognition: Review in 10.1 at 32 minutes Models of bilingual visual word recognition (BIA): - - - - - - - - Visual word recognition and working memory model: - - - - Homework 3 gone over in 10.1 Due 11/9, Discussion 2 on Tuesday, Option quiz Nov.12th 10.1 **Localizing visual word recognition in the brain:** Condition 1: Words: Present words to participant and find activation in left fusiform gyrus (important region for word and visual recognition)- can argue that anything that looks like a word can activate this region - Condition 2: Word-like: scrambled words to subjects (Not really words, stimuli uses same amount of visual input as cond.1): some activation in left fusiform gyrus - - Condition 3: Regular Objects: arrange lines to create objects: some activation in left fusiform gyrus Condition 4: scrambled objects is needed (same amount of visual input): tiny bit of activation in left fusiform gyrus - - - - Visual Word Form Area: left fusiform gyrus - - - - - - - - - **Dyslexia: deficit in reading and VWR** - - - - - - - - - - Moving from words to sentences: - - Syntax and Sentence Processing: - - - - - - - - - - - - - - - - Major questions in syntactic processing: Competence (abstract) rule: - - Cognitive Level (production) - - Comprehension wise: - - How to study sentence processing: Syntax processing experiment word by word: Self-paced moving window paradigm: The horse raced past the barn fell (measure how long reading each word, press when you are ready for next word, spend more time on words with ambiguous meanings) - - Rapid serial visual presentation (RSVP): Used in EEG - Sentence reading task: behavioral response Grammatically judgment task: intuition Structural priming: reading/comprehension of one sentence influence by another sentence similar or dissimilar in structure (unrelated to meanings) - Open-class (can be invented) - Closed-class (cannot be invented) - Eat an apple= Verb Phrase (V)+(NP) Ordering of phrases governed by rules that are language specific NP (NOUN PHRASE)\--\> (det) (adj) N (PP) must have a NOUN 10/31 Syntactic trees: How to draw them: - - - - - The picture of the boy with the sword under the table in the room next to the kitchen Visualize recursion with syntactic trees: - - - The extremely bright student: NP→ Det= the, A=extremely bright, N=Student The girl with the big fluffy dog: NP→ Det= the, N=girl, PP= P=with, NP= D= Det, A=Big, Fluffy, N=Dog A very very very big pizza on the table: NP: A=det, adj= very, very, very, PP= a=big, noun=pizza, NP: P=On, D=the, N=table Verb phrase: Do all verbs require an object? Of course not - - - Possible verb phrase structures (Do not memorize, but need to understand): ![](media/image10.png) Step 1: "The man read a book"= NP (the man, Det, N) + VP (read a book) The man [with the yellow hat→ underlined=PP] Breakdown VP into smaller elements Solving syntactic/structural ambiguity (having more than one interpretation) - - ![](media/image7.png) Depends on where the prepositional phrase is attached! - - - - Syntactic tree practice (phrasal level) "The girl with the big fluffy dog" NP D N PP P NP D Adj N Possible verb phrase structure: Be able to break down and actual phrase/sentence into smaller elements and select the matched rule/tree NP= nonphrase (can be broken into smaller constituents, Determinare, Noun, Propositional phrase) and VP= verb phrase Solving syntactic/structural ambiguity Ambiguous sentence 11/7/24 How do we test whether subjects have solved ambiguity in a sentence like "Put the apple on the towel in the box"? - Expectation-Based approach is not based on formal syntactic analyses: - - Expectation-Based Comprehension: - - - - fMRI study of preferred and nonpreferred sentence structures: - - - - - - - - - - - - - - Summary of sentence processing: - - - Parsing of Syntax: - - - - -