Reading isolated words: No evidence for automatic incorporation of the phonetic code

1992 ◽  
Vol 54 (2) ◽  
pp. 91-102 ◽  
Author(s):  
Marc Brysbaert ◽  
Caroline Praet
Keyword(s):  
Phonetic Code

Word form retrieval in language production

2007 ◽  
pp. 470-488 ◽  
Author(s):  
Antje S. Meyer ◽  
Eva Belke
Keyword(s):  
Language Production ◽  
Knowledge Building ◽  
Word Production ◽  
Word Form ◽  
Lexical Selection ◽  
Single Word ◽  
Phonological Representations ◽  
Phonological Knowledge ◽  
Phonetic Code ◽  
Selection Of

Current models of word form retrieval converge on central assumptions. They all distinguish between morphological, phonological, and phonetic representations and processes; they all assume morphological and phonological decomposition, and agree on the main processing units at these levels. In addition, all current models of word form postulate the same basic retrieval mechanisms: activation and selection of units. Models of word production often distinguish between processes concerning the selection of a single word unit from the mental lexicon and the retrieval of the associated word form. This article explores lexical selection and word form retrieval in language production. Following the distinctions in linguistic theory, it discusses morphological encoding, phonological encoding, and phonetic encoding. The article also considers the representation of phonological knowledge, building of phonological representations, segmental retrieval, retrieval of metrical information, generating the phonetic code of words, and a model of word form retrieval.

Some Remarks on the Origin of the Phonetic Code

1989 ◽  
pp. 27-44 ◽  
Author(s):  
Björn Lindblom
Keyword(s):  
Phonetic Code

scholarly journals Combining Word and Phonetic-Code Representations for Spoken Document Retrieval

2011 ◽  
pp. 458-466 ◽  
Author(s):  
Alejandro Reyes-Barragán ◽  
Manuel Montes-y-Gómez ◽  
Luis Villaseñor-Pineda
Keyword(s):  
Document Retrieval ◽  
Spoken Document Retrieval ◽  
Phonetic Code

A Better Way to Memorize Pi: The Phonetic Code

Math Horizons ◽  
2000 ◽  
Vol 7 (3) ◽  
pp. 17-17 ◽  
Author(s):  
Arthur T. Benjamin
Keyword(s):  
Phonetic Code

scholarly journals Inter-language interference in VOT production by L2-dominant bilinguals: Asymmetries in phonetic code-switching

2011 ◽  
Vol 39 (4) ◽  
pp. 558-570 ◽  
Author(s):  
Mark Antoniou ◽  
Catherine T. Best ◽  
Michael D. Tyler ◽  
Christian Kroos
Keyword(s):  
Code Switching ◽  
Phonetic Code

scholarly journals Phonological Factors Affecting L1 Phonetic Realization of Proficient Polish Users of English

2015 ◽  
Vol 13 (2) ◽  
pp. 180-197 ◽  
Author(s):  
Geoffrey Schwartz ◽  
Anna Balas ◽  
Arkadiusz Rojczyk
Keyword(s):  
Individual Performance ◽  
Code Switching ◽  
Production Task ◽  
Factors Affecting ◽  
Phonetic Code ◽  
Switching Task ◽  
Phonetic Realization

Acoustic phonetic studies examine the L1 of Polish speakers with professional level proficiency in English. The studies include two tasks, a production task carried out entirely in Polish and a phonetic code-switching task in which speakers insert target Polish words or phrases into an English carrier. Additionally, two phonetic parameters are studied: the oft-investigated VOT, as well as glottalization vs. sandhi linking of wordinitial vowels. In monolingual Polish mode, L2 interference was observed for the VOT parameter, but not for sandhi linking. It is suggested that this discrepancy may be related to the differing phonological status of the two phonetic parameters. In the code-switching tasks, VOTs were on the whole more English-like than in monolingual mode, but this appeared to be a matter of individual performance. An increase in the rate of sandhi linking in the code-switches, except for the case of one speaker, appeared to be a function of accelerated production of L1 target items.

A phonetic ‘code breaker’ which helps children to read

Five to Seven ◽  
2001 ◽  
Vol 1 (2) ◽  
pp. 19-21
Author(s):  
Sarah Horner
Keyword(s):  
Phonetic Code

The Quality of Digitized and Synthesized Speech

1996 ◽  
Vol 5 (4) ◽  
pp. 31-42 ◽  
Author(s):  
H. S. Venkatagiri
Keyword(s):  
Sampling Rate ◽  
Digital Data ◽  
Digital Recording ◽  
Single Word ◽  
Synthesized Speech ◽  
Phonetic Code ◽  
Design Factors

This paper reviews factors contributing to the quality of digitized and synthesized speech. Digital recording and playback of speech generally produces highly intelligible and natural-sounding speech provided that the sampling rate and quantization levels are adequate. Among the design factors important for the quality of synthesized speech are (a) the accuracy and sophistication of text-to-phonetic-code conversion algorithms and (b) the type of digital data (LPC or formant data) and the attention paid to spectral transitions across phonemic boundaries, the latter being, in part, a function of the unit of speech employed for synthesis (phoneme or diphone). To maximize the intelligibility and comprehension of synthesized speech, (a) single word responses should be avoided in favor of phrases and sentences, (b) discourse should be kept relatively simple with fewer and clearly stated propositions, (c) the rate of presentation should be slower than normal, (d) listeners should be exposed to and trained to discriminate synthesized speech, and (e) noise and other distractions should be kept to a minimum.

The Use of Phonetic Code for Patient Identification

1982 ◽  
pp. 812-817 ◽  
Author(s):  
I. Bräuer ◽  
R. Thurmayr ◽  
R. Busch ◽  
M. Schnabel
Keyword(s):  
Patient Identification ◽  
Phonetic Code
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