Sensitivity to change in perception of speech.

scientific article published on August 2003

Sensitivity to change in perception of speech. is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/speech/KluenderCK03
P356DOI10.1016/S0167-6393(02)00093-6
P932PMC publication ID5524127
P698PubMed publication ID28747807

P50authorMichael KiefteQ58298784
P2093author name stringJeffry A Coady
Keith R Kluender
P2860cites workYoung infants' perception of liquid coarticulatory influences on following stop consonantsQ30484671
The disappearance of steadily fixated visual test objectsQ34232605
Early processing of visual informationQ38504979
Thalamocortical transformation of responses to complex auditory stimuliQ38584113
Static, dynamic, and relational properties in vowel perceptionQ38643897
Adaptation, saturation, and physiological masking in single auditory‐nerve fibersQ41453297
QUANTITATIVE ASPECTS OF CUTANEOUS SENSORY ADAPTATION. I.Q42149690
Shifts in pitch as a function of prolonged stimulation with pure tonesQ43737020
Responses of single units in the primary auditory cortex of the cat to tones and to tone pairsQ48740820
General contrast effects in speech perception: effect of preceding liquid on stop consonant identificationQ50505238
Perceptual compensation for coarticulation by Japanese quail (Coturnix coturnix japonica).Q50508396
Relations between auditory functions in normal hearingQ50600268
Psychophysical evidence for lateral inhibition in hearingQ50642872
Studies in auditory fatigue and adaptation.Q50727049
Auditory enhancement of changes in spectral amplitudeQ69026864
Distinguishing universal and language-dependent levels of speech perception: evidence from Japanese listeners' perception of English "l" and "r"Q69747752
Forward masking by enhanced components in harmonic complexesQ70430179
Responses of Some Neurons of the Cochlear Nucleus to Tone-Intensity IncrementsQ70624737
Influence of preceding liquid on stop-consonant perceptionQ70705219
Some effects of filtered contexts on the perception of vowels and fricativesQ70916046
Suggested formulae for calculating auditory-filter bandwidths and excitation patternsQ71072030
Effects of spectral contrast on perceptual compensation for spectral-envelope distortionQ71131675
Speech coding in the auditory nerve: IV. Sounds with consonant-like dynamic characteristicsQ71301622
Representation of speech-like sounds in the discharge patterns of auditory-nerve fibersQ71333114
Perceiving vowels from uniform spectra: phonetic exploration of an auditory aftereffectQ71369348
Influence of preceding fricative on stop consonant perceptionQ71480340
On the Rôle of Formant Transitions in Vowel RecognitionQ72356227
Coarticulation in VCV utterances: spectrographic measurementsQ72762789
Perceptual compensation for speaker differences and for spectral-envelope distortionQ72811563
Neighboring spectral content influences vowel identificationQ74215585
Sensitivity of auditory-nerve fibers to changes in intensity: a dichotomy between decrements and incrementsQ93634229
P433issue1
P304page(s)59-69
P577publication date2003-08-01
P1433published inSpeech CommunicationQ2651813
P1476titleSensitivity to change in perception of speech
P478volume41

Reverse relations

cites work (P2860)
Q55071516Acoustic Context Alters Vowel Categorization in Perception of Noise-Vocoded Speech.
Q55332848Aftereffects of Spectrally Similar and Dissimilar Spectral Motion Adaptors in the Tritone Paradox.
Q30385454Auditory color constancy: calibration to reliable spectral properties across nonspeech context and targets.
Q30490751Basic auditory processes involved in the analysis of speech sounds
Q30477652Cochlea-scaled entropy, not consonants, vowels, or time, best predicts speech intelligibility
Q30473947Cochlea-scaled spectral entropy predicts rate-invariant intelligibility of temporally distorted sentences
Q30475207Constraints on the processes responsible for the extrinsic normalization of vowels
Q30421959Contingent categorization in speech perception.
Q42093062Evaluation of Temporal Difference Limen in Preoperative Non-Invasive Ear Canal Audiometry as a Predictive Factor for Speech Perception after Cochlear Implantation
Q45299267Influences of noise-interruption and information-bearing acoustic changes on understanding simulated electric-acoustic speech.
Q38609459Intonational speech prosody encoding in the human auditory cortex
Q38399481Is vowel normalization independent of lexical processing?
Q30371028Neural-scaled entropy predicts the effects of nonlinear frequency compression on speech perception.
Q47581803Predicting Intelligibility Deficit in Dysphonic Speech with Cepstral Peak Prominence
Q30542630Putting phonetic context effects into context: a commentary on Fowler (2006).
Q90024206Rapid Transformation from Auditory to Linguistic Representations of Continuous Speech
Q28744695Real-time contrast enhancement to improve speech recognition
Q30377951Relative cue encoding in the context of sophisticated models of categorization: Separating information from categorization
Q92531913Speaker-normalized sound representations in the human auditory cortex
Q30503657Speech categorization in context: joint effects of nonspeech and speech precursors
Q30458283Speech perception in simulated electric hearing exploits information-bearing acoustic change
Q30375925Stimulus Statistics Change Sounds from Near-Indiscriminable to Hyperdiscriminable.
Q59891068Syllable frequency effects in a context-sensitive segment production model
Q30424987The choice of compression speed in hearing AIDS: theoretical and practical considerations and the role of individual differences
Q30475956The incongruency advantage for environmental sounds presented in natural auditory scenes
Q30394938The time-course of speaking rate compensation: Effects of sentential rate and vowel length on voicing judgments
Q30447421The use of auditory and visual context in speech perception by listeners with normal hearing and listeners with cochlear implants.
Q47133913Toward clinical application of landmark-based speech analysis: Landmark expression in normal adult speech
Q30459867What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations.

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