Discrimination of multichannel‐compressed stop consonants
نویسندگان
چکیده
منابع مشابه
Discrimination of voiced stop consonants based on auditory nerve discharges.
Previous studies of the neural representation of speech assumed some form of neural code, usually discharge rate or phase locking, for the representation. In the present study, responses to five synthesized CVC_CV (e.g., /dad_da/) utterances have been examined using information-theoretic distance measures [or Kullback-Leibler (KL) distance] that are independent of a priori assumptions about the...
متن کاملSeparation of stop consonants
To extract speech from acoustic interference is a challenging problem. Previous systems based on auditory scene analysis principles deal with voiced speech, but cannot separate unvoiced speech. We propose a novel method to separate stop consonants, which contain significant unvoiced signals, based on their acoustic properties. The method employs onset as the major grouping cue; it first detects...
متن کاملAuditory phonemic perception in dyslexia: categorical identification and discrimination of stop consonants.
The possibility that phonological confusions may underlie some difficulties in processing written language was investigated using four speech perception tasks. Twelve dyslexic and four normal-reading children identified and discriminated synthetic speech syllables which varied either in voice-onset time (signaling the feature of voicing) or direction of formant transitions (signaling place of a...
متن کاملDurational characteristics of hindi stop consonants
A study of the durational characteristics of Hindi stop consonants in spoken sentences was carried out. An annotated and time-aligned Hindi speech database was used in the experiment. The influences of aspiration, voicing and gemination on the durations of closure and post-release segments of plosives as well as the duration of the preceding vowel were studied. It was observed that the post-rel...
متن کاملSegregation of stop consonants from acoustic interference
Speech segregation from acoustic interference is a very challenging task. Previous systems have dealt with voiced speech with success, but they cannot handle unvoiced speech. We study the segregation of stop consonants, which contain significant unvoiced signals. We propose a novel method that employs onset as a major cue to segregate stop consonants. Our system first detects stops through onse...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1994
ISSN: 0001-4966
DOI: 10.1121/1.408902