Lecture 6: Suprathreshold Speech Recognition Test (Part II) Flashcards

1
Q

What is a closed-message test?

A
  • Monosyllabic tests
  • Small # of foils
  • Foils chosen to be easily confusable with target
  • opportunity for guessing
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2
Q

What is the Fairbanks Rhyme Test (1958)?

A

5 lists drawn from 250 monosyllables

  • All rhyming words
  • The listener is provided with the word stem
  • Not phonetically balanced
  • Probes differentiation of initial consonant
  • Can be administered to groups
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3
Q

What is the modified Rhyme Test (1963)?

A

Purpose: to evaluate communication systems with untrained listeners

Structure: 6 lists, 50 words/each, 6 choices/item

  • 25 items: varied initial consonant
  • 25 items varied final consonant
  • Listener has all 6 choices available
  • Results with normal-hearing listeners
  • For hearing impaired listeners, the final consonant is harder to differentiate (lower in amplitude than the initial consonant)
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4
Q

What is the effect of open vs. closed set tasks on speech perception thresholds?

A
  • Closed set performance > open set
  • Lexically easy words > lexically hard words
  • # of alternative choices and difficulty of choices incluences performance

Conclusion: lexical knowledge and task of demands influence performance on open and closed-set speech recognition tasks

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5
Q

What is the CID everyday sentences?

A

Purpose: estimate everyday hearing disability

Structure:
- 100 sentences, everyday speech, familiar vocabulary

Listener’s task: identify all words in the sentence
Scoring: based on keywords in sentence

  • Hearing impaired listener’s performance on CID sentences > W-22’s by 28%
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6
Q

What is the synthetic sentence identification test (SSI)?

A

Purpose: identify patients with N. VIII lesions

  • need to vary temporal structure of speech –> sentences
  • avoided use of contextual cues by developing synthetic sentences

Structure: used common vocabulary; followed rules of syntax

  • Developed 3rd order approximations to sentences
  • Developed lists of 10 sentences each

Presentation:

  • Closed set, listener identifies sentence heard
  • Presented in background of single talker
  • Varied message-to-competition ratio (MCR) from -40 dB –> + 20 dB
  • Competition goes into ipsilateral ear or contralateral ear (ICM, CCM)
  • Listener gets feedback (correct or incorrect)

Diagnostic usefulness - helps distinguish brainstem vs. cortical lesions

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7
Q

What is the dichotic sentence identification (DSI) test?

A
  • 6 SSI sentences, 1 presented to each ear simultaneously, at 50 dB SL
  • Participant selects 2 sentences from a list
  • 2 modes: directed mode and free
  • 10 sentences presented to each ear
  • Relatively resistant to the effects of sensorineural hearing loss until the degree of loss exceeds 50 dB HL
  • Normal scores are greater than or equal to 80% with REA seen
  • Directed mode scores > free report
  • Older listeners do poorly on this test, and are often associated with memory problems

Diagnostic usefulness: central auditory system diagnoses

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8
Q

What is a nonsense syllable test?

A

Purpose: determine absolute recognition ability of individual listeners

Structure:

  • 91 different items
  • All possible consonants paired with /a,i,u/
  • CV or VC format
  • 11 subtests with 7-9 syllables per each

Presentation and results

  • Closed response format
  • No learning effects, high inter-list equivalence
  • No possibility of word understanding

Usefulness of test
- Can determine consonant confusions of individual –> developing rehabilitative program, benefit of hearing aids

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9
Q

What is the purpose of testing in noise?

A

To measure performance in realistic situations.

To identify deficits the person may experience

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10
Q

What are the procedural variations for testing in noise?

A

1) Fixed signal-to-noise ratio (SPIN, AzBio)
Advantages: easy to interpret % of correct score
Disadvantages: time-consuming, only 1 S/N ratio doesn’t reflect everyday situations

  • at the beginning of the test, the level of the noise is set and the speech level is set

2) Adaptive procedures (HINT)
Advantages: quick
Disadvantages: difficult to interpret (SNR)

  • you sample the person’s performance at a particular SNR and if they do well, you make the test harder by reducing the SNR
  • If the person gets the item wrong, you make the test easier by increasing the SNR
  • Have a stopping rule and average the changes to the SNR – that will be the final score that corresponds to a certain level of performance

3) Method of Constants (Q-SIN, WIN)
Advantages: quick
Disadvantages: difficult to interpret (SNR)

  • Fixed steps of SNR
  • Not adaptive because you’re not looking at how the person does on a test and making a judgement
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11
Q

What is the speech perception in noise (SPIN) test?

A

Purpose: compare a person’s recognition of acoustic information to additional use of contextual cues

Structure:

  • Sentences have low context (LP items) or high context (HP items)
  • 50 sentences per list - half are LP and half are HP (target word is last word of the sentence)
  • Present at 50 dB SL re: babble threshold in 12-talker babble at +8 dB S/B ratio (simulates average noise conditions)

Standardization results
- Reliability: acceptable (HP: 0.91, LP: 0.85
- List equivalence: 8 forms in R-SpIN are equivalent
- Performance of listeners
Hearing impaired: 92% on HP SPIN, 44% on LP SPIN
Normal: 100% on HP SPIN, >70% on LP SPIN

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12
Q

What are procedural variations for the SPIN?

A

Adaptive procedure
- fixed signal level, vary noise level

Process

  • Start with noise at 30 dB below signal level
  • Present 3 words/step in 2-dB steps
  • If 2/3 words are correct, increase noise level
  • If 2/3 words are incorrect, decrease noise level

Adaptive rule: continue until 6 reversals in direction
- Calculation of S/B for 50% criterion performance: mean of the midpoints of the final 4 excursions

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13
Q

What is the Hearing in Noise Test (HINT)?

A

Purpose: develop a test of speech recognition that avoids floor and ceiling effects

Requirements for development:

  • Produce reliable results
  • Multiple lists, equated in difficulty
  • No learning effect with materials
  • Representative of language
  • Sentence-length materials satisfy requirements

Structure of test

  • BKB sentences
  • Phonetically balanced sentences
  • 25 lists with 10 sentences/list, 3 practice lists
  • Scoring for keywords
  • Recordings: male talker
  • Presented in speech spectrum noise

Procedure:

  • Measuring S-SRT in quiet and in fixed noise level of 72 dBA under earphones (for SF testing: noise is 65 dBA)
  • Listener repeats sentence presented
  • Adaptive rule: if sentence is correct, speech level is attenuated by 2 dB, if incorrect increase level by 2 dB

Normative results:

  • Mean SRT in quiet = 23.91 dBA
  • Mean S/N ratio at threshold in oise: -2.92 dB (i.e. SRT = 69.08; noise fixed at 72 dBA)
  • Lists wer equivalent
  • Reliability was high
  • Very popular test; available in many languages
  • Used to assess “functional hearing”
  • Evaluate performance for noise in 2 conditions*
  • spatially separated noise (speech at 0 degrees and noise at 90 degrees0
  • Co-located (speech and noise at 0 degrees azimuth)
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14
Q

What is the SIN (speech in noise) test?

A
  • Modified method of constants

Purpose of development: evaluate effects of compression ratio in hearing aids on speech intelligibility and quality

Structure of test:

  • IEEE sentences, multiple lists
  • Original SIN presented at two signal levels in noise with 4- talker babble (multiple SNRs)
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15
Q

What is the Quick Sin Test?

A
  • Assesses “SNR loss” in a 1-mnute test
  • 12 equivalent lists, each list has 6 sentences ( 5 keywords per sentence)
  • Sentences on a list are presented in noise at 6 SNRs: 25, 20, 15,10, 0 (sentences/SNR)

Presentation Level
- Earphones: speech fixed at 70 dB HL, start noise at SNR = +25 dB, increase noise level in 5 dB steps after each sentence

Scoring- based on keywords in each sentence; extrapolate SNR for 50% correct

  • Use tillman-Olsen formula for calculating SRT
  • Starting SNR - #correct + 2.5 dB

Convert SNR for 50% to “SNR Loss”

  • Individual SNR - Normal SNR (2 dB); short-cut 25.5 -# correct
  • Compared to normal score to indicate degree of severity
    • SNR loss 0-2 = normal to near normal
    • SNR loss 2-7 dB = mild
    • SNR loss 7-15 dB = moderate
    • SNR loss > 15 dB = severe
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16
Q

What is the WIN (words in noise) test?

A
  • Uses 70 of the original 200 NU-6 words

Presented in MT babble (3 males, 3 females)

  • Level of MT babble fixed at 80 dB SPL
  • Level of speech varied from 104 dB SPL to 80 dB SPL, in 4 dB decrements (modified method of constants)
  • stop presentation when listener misses all words at one SNR

Normative Data

Mean SNR for normal hearing listeners:

  • 3.6 dB at 70 dB SPL
  • 4.8 dB at 90 dB SPL
  • 90th percentile for normal: 6 dB or less

Mean SNR for hearing-impaired listeners

  • 12.6 dB at 70 dB SPL
  • 12.5 dB at 90 dB SPL
17
Q

What is the AzBio Sentence Test?

A

Developed to test listeners with CIs in noise

  • Wanted a sentence test with list equivalence in noise
  • Wanted a test that was unfamiliar to listeners; multiple lists
  • Wanted to avoid floor and ceiling effects with CI listeners

Characteristics of the test:

  • 15 lists of 20 sentences each (commercial recording)
  • Sentence length: 3-12 words, no proper nouns
  • No restrictions on complexity, vocabulary, or phonemic content
  • Sentences include contemporary adult topics and social ideas
  • Presented in quiet or in noise (10- talker babble; fixed SNR)
  • Task: repeat back sentence heard; all words in sentence are scored as correct or incorrect
  • 10 lists of the AzBio Sentence Test can be used as a valid, reliable, sensitive measure for clinical and research purposes
18
Q

What is the Presto?

A

Goal of test development: need for a test that reveals individual differences among listeners, reflects linguistic and cognitive skills needed to understand speech

Stimuli: TIMIT Sentences (Texas Instruments/MIT)

  • Sentence lists (n=19) with 18 sentences/list with 76 keywords/lists
  • Keywords varied in familiarity and word frequency, but each list was balanced for these issues
  • Sentences differ in length and syntactic structure
  • Recorded by multiple talkers

Administration: listener types in sentences on computer; self-paced

  • Presented at multiple SNRs in 6-talker babble ( 3 males, 3 females)
  • Keywords correct are scored
  • Initial study examined test-retest reliability, which was high
19
Q

What is the computer-aided speech perception assessment (CASPA)?

A

Stimuli: CVC words (n= 10 items/list; 20 lists)
- 30 most common phonemes in English are used on each list (isophonemic)

Presentation either in Q or N

  • Signal level range: 45-75 dB SPL, 5-dB steps (in software); or wider range through audiometer
  • Speech noise level fixed at 55 dB SPL (if noise is used)

Tester enters subject’s responses on computer

  • Computer automatically scores phonemes correct, words correct, consonants and vowels correct
  • Program generates PIFs for each of these measures

Advantages to phonemic scoring

  • More data points available in short period of time (<5 minutes)
  • Less reliance on linguistic knowledge
  • But phoneme scores does not equal word scores
  • Word score = 100 * (p/100)^2.5
  • Use of PIFs for children and adults is clinically feasible; use of phoneme scoring may be especially helpful for those with severe speech understanding problems