ASSOCIATION VALUES OF 1016 JAPANESE NONSENSE SYLLABLES

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Measuring consonant identification in nonsense syllables, words, and sentences.

Sensorineural hearing loss (SNHL) produces deficits in speech comprehension in noise that primarily are due to impairments in identifying consonants. Here, we describe the California Syllable Test (CaST) that quantifies the identification of common American English consonants. In experiment I, 16 young subjects with normal hearing identified 720 consonant-vowel-consonant (CVC) syllables in thre...

متن کامل

Measuring consonant identification in nonsense syllables, words, and

Sensorineural hearing loss (SNHL) produces deficits in speech comprehension in noise that primarily are due to impairments in identifying consonants. Here, w e describe the California Syllable Test (CaST) that quant ifies the ident ification of common American English consonants. In experiment I, 16 young sub jects wi th normal hearing iden tified 720 consonant-vowel-consonant (CVC) syll ables ...

متن کامل

New nonsense syllables database - analyses and preliminary ASR experiments

The paper presents analyses, modifications, and first experiments with a new nonsense syllables database. Results of preliminary experiments with phoneme recognition are given and discussed.

متن کامل

Moras, Syllables, and Feet in Japanese

Han (1994) argues that moms are isochronous units, but no inference is drawn for isochrony regarding the length of the syllable in Japanese. As the tempo of speech increases, however, the phonetic reality of moms seems to become less obvious (Beckman 1982 and Larish 1989). This paper provides a new insight on the apparent gap between phonology and phonetics, which comes from the distinction bet...

متن کامل

Analyzing Well-Formedness of Syllables in Japanese Sign Language

This paper tackles a problem of analyzing the well-formedness of syllables in Japanese Sign Language (JSL). We formulate the problem as a classification problem that classifies syllables into wellformed or ill-formed. We build a data set that contains hand-coded syllables and their well-formedness. We define a finegrained feature set based on the handcoded syllables and train a logistic regress...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The Japanese journal of psychology

سال: 1951

ISSN: 1884-1082,0021-5236

DOI: 10.4992/jjpsy.21.2_23