Relative contributions of spectral and temporal cues for phoneme recognition

Xu, Li; Thompson, Catherine S.; Pfingst, Bryan E.

doi:10.1121/1.1886405

Cited by 211 publications

(230 citation statements)

References 63 publications

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“…Furthermore, a positive correlation between electrical DR and speech test results in noise suggests that the increase in electrical DR with rate contributed to the increase in speech test scores in noise with rate, at least for rates up to 500 pps/ch. These results were somewhat consistent with the previous findings by Pfingst and Xu (2005) which showed that subjects with larger mean dynamic range had better speech recognition in quiet and noise.…”

Section: Relationship Between Modulation Detection and Speech Perceptionsupporting

confidence: 83%

Cochlear Implant Stimulation Rates and Speech Perception

Arora¹

2012

Modern Speech Recognition Approaches With Case Studies

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Section: Relationship Between Modulation Detection and Speech Perceptionsupporting

confidence: 83%

Cochlear Implant Stimulation Rates and Speech Perception

Arora¹

2012

Modern Speech Recognition Approaches With Case Studies

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“…As illustrated in Fig. 2, the lowpass cutoff frequencies required for plateau performance were almost constant in the noise conditions for consonant (16 Hz) and vowel (4 Hz) recognition as well as in quiet condition (for speech recognition in quiet, see also Shannon, 2000 andXu et al, 2005). We speculate that there are several possible explanations for the limitations of the auditory system to use more temporal information for speech recognition in noise.…”

Section: Spectral and Temporal Cues For Phoneme Recognition In Noisementioning

confidence: 96%

“…Data on how these two cues interact and affect speech recognition are needed to inform the design of speech-processing strategies that will provide better speech recognition for the cochlear implant users. We have undertaken a series of studies in an attempt to elucidate the relative importance of spectral and temporal cues and their interactions for phoneme recognition in quiet and in noise and for lexical-tone recognition (Xu et al, 2002(Xu et al, , 2005. The sections below provide a concise summary of the results of those studies and discuss the implications of the results for auditory prostheses in light of recent literature.…”

Section: Introductionmentioning

confidence: 99%

Spectral and temporal cues for speech recognition: Implications for auditory prostheses

Pfingst

2008

Hearing Research

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Features of stimulation important for speech recognition in people with normal hearing and in people using implanted auditory prostheses include spectral information represented by place of stimulation along the tonotopic axis and temporal information represented in low-frequency envelopes of the signal. The relative contributions of these features to speech recognition and their interactions have been studied using vocoder-like simulations of cochlear implant speech processors presented to listeners with normal hearing. In these studies, spectral/place information was manipulated by varying the number of channels and the temporal-envelope information was manipulated by varying the lowpass cutoffs of the envelope extractors. Consonant and vowel recognition in quiet reached plateau at 8 and 12 channels and lowpass cutoff frequencies of 16 Hz and 4 Hz, respectively. Phoneme (especially vowel) recognition in noise required larger numbers of channels. Lexical tone recognition required larger numbers of channels and higher lowpass cutoff frequencies. There was a tradeoff between spectral/place and temporal-envelope requirements. Most current auditory prostheses seem to deliver adequate temporal-envelope information but the number of effective channels is suboptimal, particularly for speech recognition in noise, lexical tone recognition and music perception.

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“…The current results suggest that there is either a causal link between the ability of frequency discrimination and grammatical rule learning or a parallel development in both domains. A direct causal link could operate via the role frequency information plays in phoneme discrimination (15,30), which is a precondition for detecting long-range dependencies between phonemes. Alternatively, both pitch perception and rule Step-down analyses are given after the superordinate analysis.…”

Section: Discussionmentioning

confidence: 99%

Auditory perception at the root of language learning

Mueller

Friederici

Männel

2012

Proc. Natl. Acad. Sci. U.S.A.

127

182

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Learning a spoken language presupposes efficient auditory functions. In the present event-related potential study, we tested whether and how basic auditory processes are related to online learning of a linguistic rule in infants and adults. Participants listened to frequent standard stimuli, which were interspersed with infrequent pitch deviants and rule deviants, violating a nonadjacent dependency between two syllables. Only infants who showed the more mature mismatch response for the pitch deviants (i.e., a negativity) showed a mismatch response to the rule deviants. Concordantly, the small group of adults who showed evidence of rule learning showed larger mismatch effects for pitch processing. We conclude that the ability to extract linguistic rules develops in early infancy and is tightly linked to functional aspects of basic auditory mechanisms.language acquisition | AXB rules | pitch perception | mismatch negativity H uman language is based on an acoustically transmitted signal. The successful language learner needs to decode the linguistic content of a complex auditory signal into its component units and their relation to each other, thus deriving words and rules. Although sufficient speech input is widely considered to be crucial for language learning, the perceptual abilities that form the gateway to spoken language have long been neglected in first and second language acquisition research. Basic auditory perception may, however, be an important determinant of language learning processes across the range of normal and abnormal development.There is empirical evidence supporting the idea that early auditory abilities impact on later outcomes of language development in normal infants and populations with language-related disorders (1-3). Furthermore, auditory brainstem responses in language-impaired children suggest that low-level auditory processes contribute to the pathogenesis of language disorders (4). In adults, individual differences in perceptual abilities correlate with language-processing abilities in their native and a second language (5, 6). The findings suggest a potential causal relationship between basic auditory processing ability and the efficiency of language learning in infancy and adulthood.Although infants do not produce complex language in their first year of life, they show remarkable abilities to extract regular patterns from speech input early on. Eight-month-old infants, and even newborns, have been shown to be sensitive to transitional probabilities between syllables defining word-like units (7,8). Syllable repetitions can be detected from birth (9) and dependencies between nonadjacent units of speech can be detected as early as 4 mo of age (10). Learners seem to be able to exploit various distributional and acoustic cues to detect words and rules in speech input. Infants, for example, take advantage of prosodic cues for detecting possible words in the linguistic input (11). Similarly, prosodic cues seem to assist adults' extraction of grammatical patterns from speech input (12, 1...

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Relative contributions of spectral and temporal cues for phoneme recognition

Cited by 211 publications

References 63 publications

Cochlear Implant Stimulation Rates and Speech Perception

Cochlear Implant Stimulation Rates and Speech Perception

Spectral and temporal cues for speech recognition: Implications for auditory prostheses

Auditory perception at the root of language learning

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